Answer:
d) Squared differences between actual and predicted Y values.
Step-by-step explanation:
Regression is called "least squares" regression line. The line takes the form = a + b*X where a and b are both constants. Value of Y and X is specific value of independent variable.Such formula could be used to generate values of given value X.
For example,
suppose a = 10 and b = 7. If X is 10, then predicted value for Y of 45 (from 10 + 5*7). It turns out that with any two variables X and Y. In other words, there exists one formula that will produce the best, or most accurate predictions for Y given X. Any other equation would not fit as well and would predict Y with more error. That equation is called the least squares regression equation.
It minimize the squared difference between actual and predicted value.
The least squares regression line minimizes the sum of the squared differences between the actual and predicted Y values, making option (D) the correct answer.
Explanation:The least squares regression line is a method used in statistics to find the line that best fits a set of data points. This method minimizes the sum of squared differences between the actual Y values and the predicted Y values on the regression line. In other words, the objective of the least squares regression line is to find the coefficients that minimize the SSE (sum of squared errors). So, the correct answer is:
(D) Squared differences between actual and predicted Y values.
Using this method allows for the most accurate prediction within the given set of data, but it is important to note that it may not be suitable for predicting values outside that set.
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The ant hill is 19.5 cm tall. How many mm tall is the ant hill
Answer:
195 mm
Step-by-step explanation:
There are 10 mm in one cm. This is due to metric prefix rules
If f(x)=3x^2-5, then what is f(2)
Answer:
7
Step-by-step explanation:
substitute 2 for x
3(2^2) - 5
3 * 4 - 5
12 - 5 = 7
Answer:
Step-by-step explanation:
7....
Based on the following information, what is the standard deviation of returns? State of Economy Probability of State of Economy Rate of Return if State Occurs Recession .22 − .112 Normal .25 .127 Boom .53 .237
The standard deviation of returns is 2.82% by calculating expected value, variance and standard deviation.
Given that:
State of Economy Probability Rate of Return if State Occurs
Recession 0.22 -0.9
Normal 0.47 0.105
Boom 0.31 0.215
To calculate the standard deviation of returns, by using the formula:
Standard Deviation = [tex]\sqrt{}[/tex][Σ (Probability * (Rate of Return - Expected Return[tex])^2[/tex])]
Step 1: calculate the Expected Return: Multiply each rate of return by its corresponding probability and sum the results:
E = Σ(Rate of Return* Probability )
Plugging the given data gives:
E = (0.22 * -0.9) + (0.47 * 0.105) + (0.31 * 0.215)
On multiplication gives
E = 0.0225 - 0.04935 + 0.06665
On solving gives:
E = 0.0398.
Step 2: Calculate the Variance: For each rate of return, subtract the expected return, square the result, multiply by its corresponding probability, and sum the results:
Variance ( V) = Σ (Probability * (Rate of Return - Expected Return[tex])^2[/tex]
Plugging the given data gives:
[tex]V = [(0.22 * (-0.9 - 0.0398)^2) + (0.47 * (0.105 - 0.0398)^2) + (0.31 * (0.215 - 0.0398)^2)][/tex]
On squaring and solving gives:
[tex]V = [0.0225 + 0.02741 + 0.0412][/tex]
On adding gives:
[tex]V = 0.09111.[/tex]
Step3: Find the square root of the variance to get the Standard Deviation:
[tex]\sigma = \sqrt V[/tex]
Plugging the given data gives:
[tex]\sigma = \sqrt{0.09111 }[/tex]
On taking square root gives:
[tex]\sigma \approx 0.282[/tex] or 2.82%.
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Question:
Based on the following information, what is the standard deviation of returns?
State of Economy Probability Rate of Return if State Occurs
Recession 0.22 -0.9
Normal 0.47 0.105
Boom 0.31 0.215
To calculate the standard deviation of returns, follow these steps: 1) Calculate the expected return for each state by multiplying the probability of the state occurring by the rate of return. 2) Calculate the squared difference between each state's return and the expected return. 3) Multiply each squared difference by the probability of the state occurring. 4) Sum up all the values obtained in step 3. 5) Take the square root of the sum obtained in step 4.
Explanation:To calculate the standard deviation of returns, we need to follow these steps:
Calculate the expected return for each state of the economy by multiplying the probability of the state occurring by the rate of return for that state.Calculate the squared difference between each state's return and the expected return.Multiply each squared difference by the probability of the state occurring.Sum up all the values obtained in step 3.Take the square root of the sum obtained in step 4.Using the given information:
Expected return for Recession: (.22)*(-.112) = -0.02464Expected return for Normal: (.25)*(0.127) = 0.03175Expected return for Boom: (.53)*(0.237) = 0.12561Next, we calculate the squared difference between each state's return and the expected return:
For Recession: (-0.112 - (-0.02464))^2 = 0.005019024For Normal: (0.127 - 0.03175)^2 = 0.00718400625For Boom: (0.237 - 0.12561)^2 = 0.0122397638Then, we multiply each squared difference by the probability of the state occurring:
For Recession: 0.005019024 * 0.22 = 0.00110478528For Normal: 0.00718400625 * 0.25 = 0.0017960015625For Boom: 0.0122397638 * 0.53 = 0.006496061714Finally, we sum up all the values obtained:
0.00110478528 + 0.0017960015625 + 0.006496061714 = 0.0093968483025And take the square root of the sum:
Square root of 0.0093968483025 = 0.096919769Therefore, the standard deviation of returns is approximately 0.0969.
When the moon is exactly half full, the earth, moon, and sun form a right triangle. The right angle is the angle at the moon. At that time, the angle formed by the sun earth and moon is 89.85◦ (the angle at the Earth). If the distance from the earth to the moon is 240,000 miles, estimate the distance from the earth to the sun.
The distance from earth to sun is 91,673,351.94 miles
Solution:Given that the earth, moon, and sun form a right triangle shown in figure
The figure is attached below
Point A represents moon
Point B represents sun
Point C represents earth
The right angle is the angle at the moon. This is represented by point A in right angle triangle
Given that angle at earth is 89.85 degree
Angle BCA = 89.85 degree
Distance between earth and moon = AC = 240,000 miles
Since, Right angled triangle is formed we can use trigonometric identities
[tex]\cos \theta=\frac{B a s e}{\text {Hypotenuse}}[/tex]
The angle θ means angle created on earth
i.e. angle BCA = θ = 89.85 degree
[tex]\cos \left(89.85^{\circ}\right)=\frac{A C}{B C}[/tex]
Let BC = d, which is the distance between Earth and the sun
[tex]\mathrm{D}=\frac{240,000}{\cos (89.85)}=91,673,351.94 \mathrm{miles}[/tex]
So the distance from earth to sun is 91,673,351.94 miles
To estimate the distance from the Earth to the Sun when the Moon is exactly half full and the Earth, Moon, and Sun form a right triangle, we can use the concept of similar triangles. By setting up a proportion and using the tangent function, we can calculate that the estimated distance is approximately 243,480,000 miles.
Explanation:To estimate the distance from the Earth to the Sun, we can use the concept of similar triangles. When the Moon is exactly half full, the Earth, Moon, and Sun form a right triangle, with the right angle at the Moon. We know that the angle formed by the Sun, Earth, and Moon is 89.85 degrees.
We can use this information to set up a proportion between the distance from the Earth to the Moon and the distance from the Earth to the Sun. Let x be the distance from the Earth to the Sun. We can use the tangent function to find x:
Tan(89.85) = (240,000 miles) / x
Solving for x, we get:
x = (240,000 miles) / Tan(89.85)
Using a calculator, we find that x is approximately 243,480,000 miles.
You and your best friend Janine decide to play a game. You are in a land of make believe where you are a function, f(t), and she is a function, g(t). The two of you move together throughout this land with you (that is, f(t) ) controlling your East/West movement and Janine (that is, g(t) ) controlling your North/South movement. If your identity, f(t), is given by f(t)=(t2+10)323 and Janine's identity, g(t), is given by g(t)=5t then how many units of distance do the two of you cover between the Most Holy Point o' Beginnings, t=0, and The Buck Stops Here, t=20?
Answer:
12920
Step-by-step explanation :
distance covered = d = ∫[tex]\int\limits^a_b ({sqrt{f'(t)^{2} +g'(t)^2\\}}) \, dt[/tex]
a = t = 20
b = t = 0
f'(t) = 646 : f'(t)² = 417316
g'(t) = 5 : g'(t)² = 25
d = [tex]\int\limits^a_b {646} \, dt[/tex]
t = 20 & t = 0
d = 646t
d = 646*20 = 12920
The problem is about calculating distance based on movement rates represented by mathematical functions in an imaginary game. This is done by integrating the given functions over the stipulated time period and then summing the distances covered in each direction.
Explanation:In this mathematical scenario where you and your best friend Janine are functions, you are given an identity f(t)=(t2+10)323 which represents your East/West movement, and Janine's identity is given by g(t)=5t which represents North/South movement. To calculate the units of distance you two cover between t=0 to t=20, we need to integrate the rate of movement of each function over that time period.
Step 1: Integrate your function f(t) from t=0 to t=20. This will give the total distance you moved in the East/West direction.
f(t) = ∫(0 to 20) (t2+10)323 dt
Step 2: Integrate Janine's function g(t) from t=0 to t=20. This will give the total distance Janine moved in the North/South direction.
g(t) = ∫(0 to 20) 5t dt
Step 3: The total distance covered will then be the summation of the distances covered in each direction, as calculated above.
Remember, these are integrations because the functions f(t) and g(t) represents the rate of movement (velocity), and integrating velocity over time gives distance.
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Write the quadratic equation whose roots are -2 and 1, and whose leading coefficient is 4 .
Answer: the equation is
4x^2 + 4x - 12
Step-by-step explanation:
A quadratic equation is an equation in which the highest power of the unknown is 2.
The general form of a quadratic equation is expressed as
ax^2 + bx + c
Where
a is the leading coefficient
c is a constant
Assuming we want to write the quadratic equation in x, from the information given, the roots which are given are -2 and 1 and the leading coefficient is 4.
Therefore, the linear factors of the quadratic equation will be (x+2) and (x-1)
the equation becomes
(x+2)(x-1)
= x^2 - x +2x - 3
= x^2 + x - 3
Given a leading coefficient of 4, we will multiply the quadratic expression by 4. It becomes
4(x^2 + x - 3)
= 4x^2 + 4x - 12
Final answer:
The quadratic equation with roots -2 and 1 and a leading coefficient of 4 is 4x^2 - 12x + 8 = 0.
Explanation:
To write a quadratic equation with roots -2 and 1 and a leading coefficient of 4, we need to use the fact that if α and β are roots of a quadratic equation, then the equation can be expressed in the form:
a(x - α)(x - β) = 0
Here, α is -2 and β is 1, and the leading coefficient, a, is 4. Therefore, we can write:
4(x + 2)(x - 1) = 0
Multiplying it out, we have:
4(x2 - 1x - 2x + 2) = 0
Combining like terms, we get:
4x2 - 12x + 8 = 0, which is the desired quadratic equation.
You wish to test whether the number of fouls called in regular season games is different than during the NCAA tournament. The mean number of fowls called during all regular season gams is u = 40.1 During 16 randomly selected playoff games n = 16 the mean number of fowls is 38.1 and the standard deviation of the sample = 5.8 You calculate a 95% Confidence Interval for the mean number of fouls called during playoff games The lower value of the confidence interval is:______
Answer:
the lower value of the interval = 35.26
Step-by-step explanation:
The mean number is u = 40.1
n = 16
the mean number called x is 38.1
the standard deviation = 5.8
given a 95% Confidence Interval
The lower value of the confidence interval is?
solution
There is a infinite population and the standard deviation of the population is known,
the below formula is used for determining an estimate of the confidence limits of the population mean, i.e.
x ± ( zₐσ)/ √n
For a 95% confidence level, the value of za is taken from the confidence interval table = 1.96.
the confidence limits of the population=
x ± ( zₐσ)/ √n
38.1 ± (1.96*5.8)/ √16
38.1 ± 11.368/4
38.1 ± 2.842
40.942 or 35.258
Thus, the 95% confidence limits are 40.942 or 35.258
this prediction is made with confidence that it will be correct nine five times out of 100.
finally, the lower value of the interval = 35.26
For a rectangular cube with a square base, suppose that it costs $3/cm^2 for the material used on the side and $6/cm^2 for the material used for the top lid and the base. Assuming that the volume of this container is 54 cm^3 , what is the side length of the cube with the smallest cost?
Answer:
The sides of the container should be 3 cm and height should be 6 cm to minimize the cost
Step-by-step explanation:
Data provided in the question:
costs for the material used on the side = $3/cm²
costs for the material used for the top lid and the base = $6/cm²
Volume of the container = 54 cm³
Now,
let the side of the base be 'x' and the height of the box be 'y'
Thus,
x × x × y = 54 cm³
or
x²y = 54
or
y = [tex]\frac{54}{x^2}[/tex] ............(1)
Now,
The total cost of material, C
C = $3 × ( 4 side area of the box ) + $6 × (Area of the top and bottom)
or
C = ( $3 × 4xy ) + ( $6 × (x²) )
substituting the value of y in the above equation, we get
C = [tex]3x\times4\times\frac{54}{x^2}+2\times6x^2[/tex]
or
C = [tex]\frac{648}{x}+12x^2[/tex]
Differentiating with respect to x and putting it equals to zero to find the point of maxima of minima
thus,
C' = [tex]-\frac{648}{x^2}+2\times12x[/tex] = 0
or
[tex]2\times12x=\frac{648}{x^2}[/tex]
or
24x³ = 648
or
x = 3 cm
also,
C'' = [tex]+\frac{2\times648}{x^3}+2\times12[/tex]
or
C''(3) = [tex]+\frac{2\times648}{3^3}+2\times12[/tex] > 0
Hence,
x = 3 cm is point of minima
Therefore,
y = [tex]\frac{54}{x^2}[/tex] [from 1]
or
y = [tex]\frac{54}{3^2}[/tex]
or
y = 6 cm
Hence,
The sides of the container should be 3 cm and height should be 6 cm to minimize the cost
Find the absolute extrema of f(x) = e^{x^2+2x}f ( x ) = e x 2 + 2 x on the interval [-2,2][ − 2 , 2 ] first and then use the comparison property to find the lower and upper bounds for I = \displaystyle \int_{-2}^{2} f(x) \, dxI = ∫ − 2 2 f ( x ) d x.
[tex]f(x)=e^{x^2+2x}\implies f'(x)=2(x+1)e^{x^2+2x}[/tex]
[tex]f[/tex] has critical points where the derivative is 0:
[tex]2(x+1)e^{x^2+2x}=0\implies x+1=0\implies x=-1[/tex]
The second derivative is
[tex]f''(x)=2e^{x^2+2x}+4(x+1)^2e^{x^2+2x}=2(2x^2+4x+3)e^{x^2+2x}[/tex]
and [tex]f''(-1)=\frac2e>0[/tex], which indicates a local minimum at [tex]x=-1[/tex] with a value of [tex]f(-1)=\frac1e[/tex].
At the endpoints of [-2, 2], we have [tex]f(-2)=1[/tex] and [tex]f(2)=e^8[/tex], so that [tex]f[/tex] has an absolute minimum of [tex]\frac1e[/tex] and an absolute maximum of [tex]e^8[/tex] on [-2, 2].
So we have
[tex]\dfrac1e\le f(x)\le e^8[/tex]
[tex]\implies\displaystyle\int_{-2}^2\frac{\mathrm dx}e\le\int_{-2}^2f(x)\,\mathrm dx\le\int_{-2}^2e^8\,\mathrm dx[/tex]
[tex]\implies\boxed{\displaystyle\frac4e\le\int_{-2}^2f(x)\,\mathrm dx\le4e^8}[/tex]
Find the flux of the following vector fields across the given surface with the specified orientation. You may use either an explicit or parametric description of the surface.
44. F=〈x,y,z〉across the slanted face of the tetrahedron z=10−2x−5y in the first octant; normal vectors point upward.
The tetrahedron passes through the intercepts (5, 0, 0), (0, 2, 0), and (0, 0, 10). Parameterize the surface (call it [tex]\Sigma[/tex]) by
[tex]\vec r(u,v)=(1-v)\langle5,0,0\rangle+v\left((1-u)\langle0,2,0\rangle+u\langle0,0,10\rangle\right)[/tex]
[tex]\vec r(u,v)=\langle5(1-v),2(1-u)v,10uv\rangle[/tex]
with [tex]0\le u\le1[/tex] and [tex]0\le v\le1[/tex]. Take the normal vector to [tex]\Sigma[/tex] to be
[tex]\vec r_v\times\vec r_u=\langle20v,50v,10v\rangle[/tex]
Then the flux of [tex]\vec F(x,y,z)=\langle x,y,z\rangle[/tex] across [tex]\Sigma[/tex] is
[tex]\displaystyle\iint_\Sigma\vec F\cdot\mathrm d\vec S=\int_0^1\int_0^1\langle5(1-v),2(1-u)v,10uv\rangle\cdot\langle20v,50v,10v\rangle\,\mathrm du\,\mathrm dv[/tex]
[tex]=\displaystyle\int_0^1\int_0^1100v\,\mathrm du\,\mathrm dv=\boxed{50}[/tex]
Suppose a compact disk (CD) you just purchased has 1515 tracks. After listening to the CD, you decide that you like 66 of the songs. The random feature on your CD player will play each of the 1515 songs once in a random order. Find the probability that among the first 55 songs played (a) you like 2 of them; (b) you like 3 of them; (c) you like all 55 of them.
Answer:
(A) 0.4196
(B) 0.2398
(C) 0.0020
Step-by-step explanation:
Given,
Total songs = 15,
Liked songs = 6,
So, not liked songs = 15 - 6 = 9
If any 5 songs are played,
Then the total number of ways = [tex]^{15}C_5[/tex]
(A) Number of ways of choosing 2 liked songs = [tex]^6C_2\times ^9C_3[/tex]
Since,
[tex]\text{Probability}=\frac{\text{Favourable outcomes}}{\text{Total outcomes}}[/tex]
Thus, the probability of choosing 3 females and 2 males = [tex]\frac{ ^6C_2\times ^9C_3}{^{15}C_5}[/tex]
[tex]=\frac{\frac{6!}{2!4!}\times \frac{9!}{3!6!}}{\frac{15!}{10!5!}}[/tex]
= 0.4196
Similarly,
(B)
The probability of choosing 3 liked songs = [tex]\frac{ ^6C_3\times ^9C_2}{^{15}C_5}[/tex]
[tex]=\frac{\frac{6!}{3!3!}\times \frac{9!}{2!7!}}{\frac{15!}{10!5!}}[/tex]
= 0.2398
(C)
The probability of choosing 5 liked songs = [tex]\frac{ ^6C_5\times ^9C_0}{^{15}C_5}[/tex]
[tex]=\frac{\frac{6!}{5!1!}}{\frac{15!}{5!10!}}[/tex]
≈ 0.0020
In 2012, Gallup asked participants if they had exercised more than 30 minutes a day for three days out of the week. Suppose that random samples of 100 respondents were selected from both Vermont and Hawaii. From the survey, Vermont had 65.3% who said yes and Hawaii had 62.2% who said yes. What is the value of the sample proportion of people from Hawaii who exercised for at least 30 minutes a day 3 days a week?
Answer:
0.622
Step-by-step explanation:
According to the question,
62.2% of the respondents from Hawaii said that they had exercised more than 30 minutes a day for 3 days out of the week.
So, value of the sample proportion of people from Hawaii who exercised for at least 30 minutes a day for 3 days in a week is given by,
[tex]\frac {62.2}{100}[/tex]
= 0.622
Natalie is skiing along a circular ski trail that has a radius of 2.6 km. She starts at the 3-o'clock position and travels in the CCW direction. Natalie stops skiing when she is 0.942 km to the right and 2.423 km above the center of the ski trail. Imagine an angle with its vertex at the center of the circular ski trail that subtends Natalie's path.
a. How many radians has the angle swept out since Natalie started skiing? ______radians
b. How many km has Natalie skied since she started skiing? _________km
Answer:
1.20 radians3.12 kmStep-by-step explanation:
a. The tangent of the central angle is the ratio ...
tan(θ) = (2.423 km)/(0.942 km) . . . . . definition of tangent
θ = arctan(2.423/.942) ≈ 1.200 radians
__
b. The length of the arc is ...
s = rθ = (2.6 km)(1.2 radians) = 3.12 km
_____
The attached output from a graphics program shows the angle as 68.76°. Multiplying by π/180°, we can convert that to radians:
θ = 68.76π/180 = 216.0/180 = 1.200 radians
To solve this, we use trigonometry and the relationships between parts of a circle. The angle subtended at the center of the trail by Natalie's path is 0.966 radians. The distance Natalie has skied since starting is 2.512 km.
Explanation:The subject of this question is Mathematics, specifically Trigonometry, which deals with angles, lengths, and relationships in triangles. With a radius of 2.6 km, as Natalie moves along the circular ski trail, she traces out an arc and subtends an angle at the center of the circle.
(a) To find the angle she's covered in radians: consider the endpoint of her path which forms a triangle with the center of the circle and the initial position (3-o'clock). The angle she's subtended can be found using trigonometry (inverse tangent). The tangent of the angle equals the vertical component (2.423 km) divided by the horizontal component (2.6 km - 0.942 km). Giving us:
Angle in radians = tan-inverse of (2.423/1.658) = 0.966 radians.
(b) The distance she's covered along the circumference of the trail is the length of the arc she has skied, given by:
Arc length = radius * angle (in radians).
So, Distance covered = 2.6 km * 0.966 = 2.512 km.
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[Second Order Differential Equations] Linear constant-coefficient 2nd order differential are very important in Electrical and Computer Engineering (ECE), yet recitation quiz #5 shows that many of you are still struggling with that concept. Here we start with such a differential equation, first a homogeneous solution and then with a forcing function for which we know the form of the particular solution, but then we move on to a more complicated forcing function and then finally to a problem with time-varying coefficients: Find the entire solution for each of the following: (a) y 00 − 4y 0 + 5y = 0, y(0) = 1, y0 (0) = 0 (b) y 00 − 4y 0 + 5y = 5t 2 , y(0) = 2, y0 (0) = 0 (fractions get a little messy) Find the particular solution to the following using the variation of parameters technique: (a) y 00 − 4y 0 + 5y = e 2t csc t (b) t 2y 00 − 4ty0 + 6y = t −4 .
Answer:
Please see attachment
Step-by-step explanation:
Please see attachment
You invested $19,000 in two accounts paying 5% and 9% annual interest, respectively. If the total interest earned for the year was
$1390, how much was invested at each rate?
Answer:
0.08x + 0.09y = 1700, where x is the amount that has 8% interest
y is the amount that has 9% interest
-------equation (1)
x+y = 19000
x = 19000 - y , -------equation (2)
substitute (2) into (1):
0.08(19000 - y) + 0.09y = 1700
1520-0.08y+0.09y = 1700
so, y = 18000
x = 19000-y=1000
(1000, 18000) is the answer
Just to let you know I’m in 7th grade
The problem can be solved by creating a system of linear equations that represent the conditions given in the problem. Solve this system of equations to determine the amounts invested in each of the two accounts.
Explanation:This is a problem of algebra, specifically a type of word problem called a system of linear equations. You have a total of $19,000 invested across two accounts. Let's denote the amount invested at 5% as x and the amount invested at 9% as y. So, we can write two equations:
x + y = $19,000 (since the total money invested is $19,000), and 0.05x + 0.09y = $1,390 (since the total interest is $1,390)The next step is to solve this system of equations. Multiply the first equation by 0.05 (so it matches 5% in the second equation), then subtract the resulting equation from the second equation to eliminate x. By doing this, you find the value for y (money in the 9% account). Once you have the value for y, you can substitute it into the first equation to find the value for x (money in the 5% account).
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An engineer is comparing voltages for two types of batteries (K and Q) using a sample of 37 type K batteries and a sample of 58 type Q batteries. The mean voltage is measured as 8.54 for the type K batteries with a standard deviation of 0.225, and the mean voltage is 8.69 for type Q batteries with a standard deviation of 0.725. Conduct a hypothesis test for the conjecture that the mean voltage for these two types of batteries is different. Let μ1 be the true mean voltage for type K batteries and μ2 be the true mean voltage for type Q batteries. Use a 0.10.1 level of significance.
Step 1 of 4: State the null and alternative hypotheses for the test.
Step 2 of 4: Compute the value of the test statistic. Round your answer to two decimal places.
Step 3 of 4: Determine the decision rule for rejecting the null hypothesis H0. Round the numerical portion of your answer to two decimal places.
Step 4 of 4: Make the decision for the hypothesis test.
Answer:
Step-by-step explanation:
Hello!
You want to test two samples of batteries to see is the mean voltage of these battery types are different.
Sample 1 (type K)
n₁= 37
sample mean x₁[bar]= 8.54
standard deviation S₁= 0.225
Sample 2 (Type Q)
n₂= 58
sample mean x₂[bar]= 8.69
standard deviation S₂= 0.725
1. The test hypothesis are:
H₀: μ₁ = μ₂
H₁: μ₁ ≠ μ₂
2. I'll apply the Central Limit Theorem and approximate the distribution of the sample means to normal so that I can use an approximate Z statistic for this test.
Z: (x₁[bar] - x₂[bar]) - (μ₁ - μ₂) ≈ N(0;1)
√ (S₁²/n₁) + (S₂²/n₂)
[tex]Z_{H0}[/tex]= (8.54 - 8.69) / [√ (0.225²/37) + (0.725²/58)]
[tex]Z_{H0}[/tex]= -1.468 ≅ -1.47
3. This is a two tailed test, so you'll have two critical values
[tex]Z_{\alpha/2} = Z_{0.025} = - 1.96[/tex]
[tex]Z_{1 - \alpha/2} = Z_{0.975} = 1.96[/tex]
You'll reject the null hypothesis if [tex]Z_{H0}[/tex] ≤ -1.96 or if [tex]Z_{H0}[/tex] ≥ 1.96
You'll not reject the null hypothesis if -1.96 < [tex]Z_{H0}[/tex] < 1.96
4.
Since the value [tex]Z_{H0}[/tex] = -1.47 is in the acceptance region, the decision is to not reject the null hypothesis.
I hope it helps!
Answer:
Step-by-step explanation:
Assume each person makes one cola purchase per week in Turlock. Suppose 60% of all people now drink Coke, and 40% drink Pepsi. How many people (roughly) will be drinking Coke five weeks from now in Turlock if the current population of Turlock is 70,000?
Answer:
In think the answer is 42,000
Step-by-step explanation:
Final answer:
To determine how many people will be drinking Coke in Turlock five weeks from now, multiply the percentage of Coke drinkers (60%) by the town's population (70,000). This gives us 0.60 * 70,000 = 42,000 people drinking Coke.
Explanation:
The question involves a numerical problem where we have to determine how many people will be drinking Coke in Turlock five weeks from now if the current population is 70,000 and 60% of them drink Coke. To find the answer, we simply need to calculate 60% of 70,000.
Calculation steps:
Convert 60% to a decimal by dividing 60 by 100, which gives us 0.60
Multiply 0.60 by the total population of Turlock, which is 70,000
The calculation will be 0.60 * 70,000
Now, let's do the calculation:
0.60 * 70,000 = 42,000
Therefore, if the population of Turlock stays constant at 70,000 and the cola drinking habits remain the same, approximately 42,000 people will be drinking Coke five weeks from now.
Suppose that a one-way ANOVA is being performed to compare the means of five populations and that the sample sizes are 17 comma 15 comma 16 comma 18 comma and 11. Determine the degrees of freedom for the F-statistic.
(a) the degree of freedom of the numerator _______________________
(b) the degree of freedom of the denominator______________________
Answer:
a) [tex]df_{num}=k-1=5-1=4[/tex]
b) [tex]df_{den}=N-k=77-5=72[/tex]
Step-by-step explanation:
Analysis of variance (ANOVA) "is used to analyze the differences among group means in a sample".
The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"
If we assume that we have [tex]p[/tex] groups and on each group from [tex]j=1,\dots,p[/tex] we have [tex]n_j[/tex] individuals on each group we can define the following formulas of variation:
[tex]SS_{total}=\sum_{j=1}^p \sum_{i=1}^{n_j} (x_{ij}-\bar x)^2 [/tex]
[tex]SS_{between}=SS_{model}=\sum_{j=1}^p n_j (\bar x_{j}-\bar x)^2 [/tex]
[tex]SS_{within}=SS_{error}=\sum_{j=1}^p \sum_{i=1}^{n_j} (x_{ij}-\bar x_j)^2 [/tex]
And we have this property
[tex]SST=SS_{between}+SS_{within}[/tex]
The degrees for the numerator are [tex]df_{num}=k-1=5-1=4[/tex], where k represent the number of groups on this case k =5.
The degrees for the denominator are [tex]df_{den}=N-k=77-5=72[/tex], where N represent the total number of people N=17+15+16+18+11=77.
And the total degrees of freedom are given by: [tex]df_{tot}=df_{num}+df_{den}=N-1=4+72=76[/tex]
Final answer:
The degrees of freedom for the F-statistic in a one-way ANOVA with five populations and sample sizes of 17, 15, 16, 18, and 11 are 4 and 72.
Explanation:
The degrees of freedom for the F-statistic in a one-way ANOVA are determined by the sample sizes of the populations being compared. In this case, the sample sizes are 17, 15, 16, 18, and 11.
The degrees of freedom for the numerator (df(num)) is equal to the number of groups being compared minus 1, which is 5-1=4.
The degrees of freedom for the denominator (df(denom)) is equal to the total number of observations minus the number of groups, which is 77-5=72. Therefore, the degrees of freedom for the F-statistic are 4 and 72.
A federal agency responsible for enforcing laws governing weights and measures routinely inspects packages to determine whether the weight of the contents is at least as great as that advertised on the package. A random sample of 18 containers whose packaging states that the contents weigh 8 ounces was drawn. The contents were weighed, and the results follow. Can we conclude at the 1% significance level that on average the containers are mislabeled?
Answer: We can conclude that the average containers are mislabelled.
Step-by-step explanation:
From the question, the significant level of 0.01 or 1% given is less than 0.05 or 5%. So we say it is significant.
Consider an unreliable communication channel that can successfully send a message with probability 1/2, or otherwise, the message is lost with probability 1/2. How many times do we need to transmit the message over this unreliable channel so that with probability 63/64 the message is received at least once? Explain your answer.
Hint: treat this as a Bernoulli process with a probability of success 1/2. The question is equivalent to: how many times do you have to try until you get at least one success?
Answer:
6 times we need to transmit the message over this unreliable channel so that with probability 63/64.
Step-by-step explanation:
Consider the provided information.
Let x is the number of times massage received.
It is given that the probability of successfully is 1/2.
Thus p = 1/2 and q = 1/2
We want the number of times do we need to transmit the message over this unreliable channel so that with probability 63/64 the message is received at least once.
According to the binomial distribution:
[tex]P(X=x)=\frac{n!}{r!(n-r)!}p^rq^{n-r}[/tex]
We want message is received at least once. This can be written as:
[tex]P(X\geq 1)=1-P(x=0)[/tex]
The probability of at least once is given as 63/64 we need to find the number of times we need to send the massage.
[tex]\frac{63}{64}=1-\frac{n!}{0!(n-0)!}\frac{1}{2}^0\frac{1}{2}^{n-0}[/tex]
[tex]\frac{63}{64}=1-\frac{n!}{n!}\frac{1}{2}^{n}[/tex]
[tex]\frac{63}{64}=1-\frac{1}{2}^{n}[/tex]
[tex]\frac{1}{2}^{n}=1-\frac{63}{64}[/tex]
[tex]\frac{1}{2}^{n}=\frac{1}{64}[/tex]
By comparing the value number we find that the value of n should be 6.
Hence, 6 times we need to transmit the message over this unreliable channel so that with probability 63/64.
A survey of 400 college seniors resulted in the following crosstabulation regarding their undergraduate major and whether or not they plan to go to graduate school. What percentage of the undergraduates surveyed are majoring in Engineering?
Answer:
38 %
Step-by-step explanation:
Survey 400 college seniors resulted in the following cross tabulation . regarding their undergraduate major and graduate.
Missing details
Undergraduate Major
Graduate School || Business || Engineering || Others
Yes ----- 35 ---------42 ---------- 63
No ----- ----91 ------- 104 --------- 65
Answer:
The percentage of the undergraduates surveyed who major in Engineering is 36.5%
Step-by-step explanation:
Given: The above table
Required: Percentage of undergraduates that majored in Engineering
We'll solve this question irrespective of whether the undergraduate student plans to go to a graduate school or not.
Follow the steps below
Step 1: Calculate the total engineering students
Tot Engineering students = Undergraduate student that plan to go to graduate school + those that have no plans for graduate school
From the engineering column
Undergraduate student that plan to go to graduate school = 42
those that have no plans for graduate school = 104
Total = 42 + 104
Total = 146
Step 2: Calculate percentage of this category of undergraduates
Percentage is calculated as a ratio of required population to total population.
In other words,
Percentage = Required Population ÷ Total Population
Here,
Required population = total engineering students
Required population = 146
Total Population = 400
Percentage = 146/400
Percentage = 0.365
Percentage. = 36.5%
Hence, the percentage of the undergraduates surveyed who major in Engineering is 36.5%
Which triangle congruence postulate proves these two triangle are congruent?
A. AAS
B. HL
C. SAS
D. ASA
Please answer this
Answer:
A. AAS
Step-by-step explanation:
The vertical angles are congruent, the adjacent marked angles are congruent, and the marked sides on the far side of both angles are congruent. This geometry matches the conditions for Angle-Angle-Side (AAS) congruence.
There are 20 members of a basketball team.
(a) The coach must select 12 players to travel to an away game. How many ways are there to select the players who will travel?
(b) From the 12 players who will travel, the coach must select her starting line-up. She will select a player for each of the five positions: center, power forward, small forward, shooting guard and point guard. How many ways are there for her to select the starting line-up?
(c) From the 12 players who will travel, the coach must select her starting line-up. She will select a player for each of the five positions: center, power forward, small forward, shooting guard and point guard. However, there are only three of the 12 players who can play center. Otherwise, there are no restrictions. How many ways are there for her to select the starting line-up?
There are 125,970 ways to select the players who will travel to an away game. There are 79,833,600 ways to select the starting line-up. With a restriction on the center position, there are 12 ways to select the starting line-up.
Explanation:(a) The coach must select 12 players to travel to an away game:
There are 20 members on the basketball team, and the coach needs to select 12 players to travel. This is a combination problem, since the order doesn't matter. The formula for calculating combinations is: nCr = n! / (r! * (n-r)!), where n is the total number of players and r is the number of players to be selected.
Using this formula, we can calculate the number of ways to select the traveling players: 20C12 = 20! / (12! * (20-12)!) = 125,970 ways.
(b) The coach must select her starting line-up:
There are 12 players who will travel, and the coach needs to select 5 players for the starting line-up. This is a permutation problem, since the order does matter. The formula for calculating permutations is: nPr = n! / (n-r)!, where n is the total number of players and r is the number of players to be selected.
Using this formula, we can calculate the number of ways to select the starting line-up: 12P5 = 12! / (12-5)! = 12! / 7! = 79,833,600 ways.
(c) The coach must select her starting line-up, with a restriction on the center position:
There are 12 players who will travel, and only 3 players who can play center. The remaining 4 positions have no restrictions. We can calculate the number of ways to select the starting line-up by first selecting the center player (3 ways), and then selecting the players for the other positions (4P4 = 4 ways).
Therefore, the total number of ways to select the starting line-up with the restriction on the center position is: 3 * 4 = 12 ways.
Use technology and a t-test to test claim about the population mean mu at the given level of significance alpha using the given sample statistics. Assume the population is normally distributed. Claim mu > 76 alpha = 0.01 Sample statistics x = 77.5, s= 3.3, n=29 What are the null and alternative hypotheses? Choose the correct answer below What is te value of the standardized test statistic? The standardized test statistic is (Round to two decimal places as needed) What is the P-value of the test statistic? P-value = (round to three decimal places as needed.) What is the value of the standardized test statistic? The standardized test statistic is . (Round to two decimal places as needed.) What is the P-value of the test statistic? P-value = (Round to three decimal places as needed.) Decide whether to reject or fail to reject the null hypothesis. Choose the correct answer below. Reject H0. There is enough evidence to support the claim. Fail to reject H0. There is not enough evidence to support the claim. Fail to reject H0 There is enough evidence to support the claim. Fail to reject H0 there is not enough evidence to support the claim.
The null hypothesis is that the population mean is equal to or less than 76, while the alternative hypothesis is that it is greater than 76. The standardized test statistic is 2.089, and the P-value is approximately 0.022. Therefore, we reject the null hypothesis and conclude that there is enough evidence to support the claim.
Explanation:The null hypothesis, denoted as H0, states that the population mean (mu) is equal to or less than 76. The alternative hypothesis, denoted as H1, states that the population mean (mu) is greater than 76. To test the claim, we can perform a one-sample t-test.
The standardized test statistic, also known as the t-value, can be calculated using the formula t = (x - mu) / (s / sqrt(n)), where x is the sample mean, mu is the population mean under the null hypothesis, s is the sample standard deviation, and n is the sample size. Plugging in the values x = 77.5, mu = 76, s = 3.3, and n = 29 into the formula gives us a t-value of 2.089 (rounded to two decimal places).
The P-value of the test statistic can be determined by comparing the t-value to the critical value of the t-distribution with (n - 1) degrees of freedom at the given level of significance (alpha). Since the alternative hypothesis is one-sided (mu > 76), we need to find the right-tail area of the t-distribution. Consulting a t-table or using statistical software, we find that the P-value is approximately 0.022 (rounded to three decimal places).
To make a decision, we compare the P-value to the significance level (alpha). If the P-value is less than alpha, we reject the null hypothesis. In this case, the P-value is 0.022, which is less than alpha = 0.01. Therefore, we reject the null hypothesis and conclude that there is enough evidence to support the claim that the population mean (mu) is greater than 76.
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The null and alternative hypotheses can be set, and the t-value can be calculated using the provided sample statistics. The P-value and the decision to reject or fail to reject the null hypothesis cannot be determined without further calculations.
Explanation:The null and alternative hypotheses can be defined as follows:
Null Hypothesis (H0): Mu is less than or equal to 76 (mu <= 76)Alternative Hypothesis (Ha): Mu is greater than 76 (mu > 76)The standardized test statistic (t-value) can be calculated using the formula:
t = (x - mu) / (s / sqrt(n))
Using the given sample statistics:
t = (77.5 - 76) / (3.3 / sqrt(29)) = 1.69 (rounded to two decimal places)
The P-value for the test statistic can be found using a t-distribution table or a statistical software. The P-value represents the probability of obtaining a t-value as extreme as the calculated one, assuming the null hypothesis is true. Since the P-value is not provided in the question, it cannot be determined without further calculations.
To decide whether to reject or fail to reject the null hypothesis, compare the P-value to the significance level (alpha). If the P-value is less than alpha, reject the null hypothesis. If the P-value is greater than or equal to alpha, fail to reject the null hypothesis.
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A clinical trial tests a method designed to increase the probability of conceiving a girl. In the study 300 babies were born, and 270 of them were girls. Use the sample data to construct a 99% confidence interval estimate of the percentage of girls born. Based on the result, does the method appear to be effective?
The 99% confidence interval for the percentage of girls born using this method is 86.7% - 93.3%.
Step-by-step calculation:
1. Calculate the sample proportion of girls:
Divide the number of girls by the total number of babies:
Sample proportion ([tex]\hat p[/tex]) = 270 girls / 300 babies = 0.9
2. Determine the z-score for a 99% confidence level:
Using a z-score table or calculator, find the z-score that corresponds to a 99% confidence level. This value is approximately 2.576.
3. Calculate the margin of error:
Margin of error (E) = z-score × [tex]\sqrt {(\hat p(1 - \hat p) / n)[/tex]
E = 2.576×√(0.9 × 0.1 / 300) ≈ 0.033
4. Construct the confidence interval:
Lower limit = [tex]\hat p[/tex] - E = 0.9 - 0.033 = 0.867
Upper limit = [tex]\hat p[/tex] + E = 0.9 + 0.033 = 0.933
5. Interpretation:
We are 99% confident that the true proportion of girls born using this method lies between 86.7% and 93.3%.
6. While the upper limit suggests a potential increase in girls, the confidence interval remains wide, and further studies are needed for a conclusive effectiveness claim.
An instructor was interested in seeing if there was a difference in the average amount of time that men and women anticipate studying for an Introduction to Statistics course in the summer. A group of men and women were randomly selected from the University of Florida. The Minitab results are below. What is the best interpretation of the results below?Difference = mu (F) - mu (M)T-Test of difference = 0 (vs not =): T-Value = 0.23 P-Value = 0.817 DF = 46A. With a p-value of 0.817, that there is no statistically significant evidence of a difference in average anticipated amount of time studying between the men and women.B. With a p-value of 0.23, that there is no statistically significant evidence of a difference in average anticipated amount of time studying between men and women.C. We are 23% confidence that there is no statistically significant difference between the anticipated study time between men and women for this course.D. With a p-value of 0.817, there is statistically significant evidence of a difference in average anticipated amount of time studying between men and women.E. We are 81.7% confidence that there is no statistically significant difference between the anticipated study time between men and women for this course.F. With a p-value of 0.23, there is statistically significant evidence of a difference in average anticipated amount of time studying between men and women.
Answer:
.Option A
Step-by-step explanation:
Given that an instructor was interested in seeing if there was a difference in the average amount of time that men and women anticipate studying for an Introduction to Statistics course in the summer.
Minitab results are
[tex]Difference = mu (F) - mu (M)\\T-Test of difference = 0 (vs not =): T-Value = 0.23 \\P-Value = 0.817 \\DF = 46[/tex]
Since p value >0.05 our alpha significant level we accept null hypothesis that
difference in means =0
With a p-value of 0.817, that there is no statistically significant evidence of a difference in average anticipated amount of time studying between the men and women
.Option A
For an average person, the rate of change of weight W (in pounds) with respect to height h (in inches) is given approximately by the following formula.
dW/dh=0.0018h^2
Find W(h) if W(80)equals=287.2 pounds. Also, find the weight of a person who is 5 feet, 8 inches tall.
W(h)=_______
A Person who is 5 feet, 8 inches tall weighs about _______ lbs
Answer:
[tex]W(h)=0.0006h^3-20[/tex].
A Person who is 5 feet, 8 inches tall weighs about 168.7 lbs.
Step-by-step explanation:
We know the rate of change of weight W (in pounds) with respect to height h (in inches)
[tex]\frac{dW}{dh}=0.0018h^2[/tex]
This is a separable equation. A separable equation is a first-order differential equation in which the expression for [tex]\frac{dy}{dx}[/tex] can be factored as a function of x times a function of y. In other words, it can be written in the form
[tex]\frac{dy}{dx}=g(x)f(y)[/tex]
To find W(h), we write the equation in terms of differentials and integrate both sides:[tex]\frac{dW}{dh}=0.0018h^2\\\\dW=(0.0018h^2)dh\\\\\int dW=\int (0.0018h^2)dh\\\\W=0.0006h^3+C[/tex]
To find the value of C, we use W(80) = 287.2 lbs
[tex]287.2=0.0006(80)^3+C\\0.0006\left(80\right)^3+C=287.2\\307.2+C=287.2\\307.2+C-307.2=287.2-307.2\\C=-20[/tex]
Thus,
[tex]W(h)=0.0006h^3-20[/tex]
To find the weight of a person who is 5 feet, 8 inches tall you must:Convert the 5 feet into inches
[tex]5 \:ft \:\frac{12 \:in}{1\:ft} = 60 \:in[/tex]
Add 60 in and 8 in, to find the total height of the person
h = 68 in
Substitute h = 68 in into [tex]W(h)=0.0006h^3-20[/tex] to find the weight:[tex]W(68)=0.0006(68)^3-20=168.7[/tex]
A Person who is 5 feet, 8 inches tall weighs about 168.7 lbs.
To find the weight function W(h) and the weight of a person who is 5 feet, 8 inches tall, we need to integrate the given rate of change formula and substitute the values into the equation.
Explanation:To find the weight function W(h), we need to integrate the given rate of change formula dW/dh = 0.0018[tex]h^2[/tex].
Integrating both sides, we get:
∫ dW = ∫ 0.0018[tex]h^2[/tex] dh
Integrating, we have:
W(h) = 0.0018 * (1/3) * [tex]h^3[/tex] + C
To find the value of C, we use the given information W(80) = 287.2 pounds.
Substituting the values, we have:
287.2 = 0.0018 * (1/3) * [tex]80^3[/tex] + C
Simplifying the equation, we solve for C and find:
C = 287.2 - 0.0018 * (1/3) * [tex]80^3[/tex]
Now, we can write the weight function W(h) as:
W(h) = 0.0018 * (1/3) * [tex]h^3[/tex] + (287.2 - 0.0018 * (1/3) * [tex]80^3[/tex])
To find the weight of a person who is 5 feet, 8 inches tall, we need to convert the height to inches.
5 feet is equal to 60 inches, and 8 inches is 8 inches. So, the total height is 60 + 8 = 68 inches.
Substituting the value into the weight function, we have:
W(68) = 0.0018 * (1/3) * [tex]68^3[/tex] + (287.2 - 0.0018 * (1/3) * [tex]80^3[/tex])
Simplifying the equation, we find the weight of a person who is 5 feet, 8 inches tall.
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Apply the Gram-Schmidt orthonormalization process to transform the given basis for Rn into an orthonormal basis. Use the Euclidean inner product on Rn and use the vectors in the order in which they are given. B = {(8, −6, 0), (5, 1, 0), (0, 0, 2)}U1=??U2=??U3=??
Answer:
Remember, if [tex]\{x_1,x_2,...,x_k\}[/tex] is a basis for a subspace W of [tex]\mathbb{R}^n[/tex] then [tex]\{q_1,q_2,...,q_k\}[/tex] is an orthonormal basis of W, where
[tex]q_i=\frac{1}{||v_i||}[/tex] and [tex]v_i[/tex] is defined as:
[tex]v_1=x_1\\v_2=x_2-\frac{v_1\cdot x_2}{v_1\cdot v_1}v_1\\v_k=x_k-\frac{v_1\cdot x_k}{v_1\cdot v_1}v_1 - \cdots - \frac{v_{k-1}\cdot x_k}{v_{k-1}\cdot v_{k-1}}v_{k-1}[/tex]
Then, to find a orthonormal basis of [tex]\{x_1=(8, -6, 0), x_2=(5, 1, 0), x_3=(0, 0, 2)\}[/tex] we will find first the [tex]v_i[/tex]'s.
[tex]v_1=x_1[/tex]
[tex]v_2=x_2-\frac{v_1\cdot x_2}{v_1\cdot v_1}v_1=(5,1,0)-\frac{(8,-6,0)\cdot (5,1,0)}{(8,-6,0)\cdot (8,-6,0)}(8,-6,0)=\\=(5,1,0)-\frac{17}{50}(8,-6,0)=(\frac{57}{25},\frac{76}{25},0)[/tex]
[tex]v_3=x_3-\frac{v_1\cdot x_3}{v_1\cdot v_1}v_1-\frac{v_2\cdot x_3}{v_2\cdot v_2}v_2=\\=(0,0,2)-\frac{(8-6,0)\cdot (0,0,2)}{(8,-6,0)\cdot (8,-6,0)}(8,-6,0) -\frac{(\frac{57}{25},\frac{76}{25},0)\cdot (0,0,2)}{(\frac{57}{25},\frac{76}{25},0)\cdot (\frac{57}{25},\frac{76}{25},0)}(\frac{57}{25},\frac{76}{25},0)=\\=(0,0,2)-0-0=\\=(0,0,2)[/tex]
Therefore, [tex]\{v_1=(8,-6,0),v_2=(\frac{57}{25},\frac{76}{25},0),v_3=(0,0,2)\}[/tex] is a ortogonal basis for [tex]\mathbb{R}^3[/tex]. But we need a orthonormal basis. Then is enough find the corresponding unit vector of the ortogonal basis found.
[tex]q_1=\frac{1}{||v_1||}v_1=\frac{1}{\sqrt{100}}(8,-6,0)\\q_2=\frac{1}{||v_2||}v_2=\frac{1}{\frac{19}{5}}(\frac{57}{25},\frac{76}{25},0)=\frac{5}{19}(\frac{57}{25},\frac{76}{25},0)\\q_3=\frac{1}{||v_3||}v_3=\frac{1}{2}(0,0,2)[/tex]
Hence
[tex]\{q_1=({\frac{8}{\sqrt{100}},\frac{-6}{\sqrt{100}},0), q_2=(\frac{3}{5},\frac{4}{5},0), q_3=(0,0,1)\}[/tex] is a orthonormal basis for [tex]\mathbb{R}^3[/tex]
Final answer:
To transform the given basis B into an orthonormal basis using the Gram-Schmidt orthonormalization process, we can follow the steps outlined.
Explanation:
To apply the Gram-Schmidt orthonormalization process to the given basis B = {(8, −6, 0), (5, 1, 0), (0, 0, 2)} in Rn, we'll follow these steps:
Take the first vector from the basis, let's call it U1, and normalize it to obtain the first vector of the orthonormal basis, which we'll also call U1.For the second vector, U2, subtract the projection of U2 onto U1 from U2 to obtain a vector orthogonal to U1. Normalize this resulting vector to obtain U2 of the orthonormal basis.For the third vector, U3, subtract the projection of U3 onto U1 and U2 from U3 to obtain a vector orthogonal to U1 and U2. Normalize this resulting vector to obtain U3 of the orthonormal basis.By applying this process to B, we find that U1 is (8/10, -6/10, 0), U2 is (1/2, 7/10, 0), and U3 is (0, 0, 2/√10).
A random variable x has a Normal distribution with an unknown mean and a standard deviation of 12. Suppose that we take a random sample of size n = 36 and find a sample mean of ¯ x = 98 . What is a 95% confidence interval for the mean of x ?
Answer: The 95% confidence interval for the mean of x is (94.08, 101.92) .
Step-by-step explanation:
We are given that ,
A random variable x has a Normal distribution with an unknown mean and a standard deviation of 12.
i.e. [tex]\sigma= 12[/tex]
Also, it is given that , Sample mean [tex]\overline{x}=98[/tex] having sample size : n= 36
For 95% confidence ,
Significance level : [tex]\alpha=1-0.95=0.05[/tex]
By using the z-value table , the two-tailed critical value for 95% Confidence interval :
[tex]z_{\alpha/2}=z_{0.025}=1.96[/tex]
We know that the confidence interval for unknown population mean[tex](\mu)[/tex] is given by :-
[tex]\overline{x}\pm z_{\alpha/2}\dfrac{\sigma}{\sqrt{n}}[/tex]
, where [tex]\overline{x}[/tex] = Sample mean
[tex]\sigma[/tex] = Population standard deviation
[tex]z_{\alpha/2}[/tex] = Critical z-value.
Substitute all the given values, then the required confidence interval will be :
[tex]98\pm (1.96)\dfrac{12}{\sqrt{36}}[/tex]
[tex]=98\pm (1.96)\dfrac{12}{6}[/tex]
[tex]=98\pm (1.96)(2)[/tex]
[tex]=98\pm 3.92=(98-3.92,\ 98+3.92)\\\\=( 94.08,\ 101.92)[/tex]
Therefore, the 95% confidence interval for the mean of x is (94.08, 101.92) .
PLEASE HELP
Answer all three of the questions below.
1. Write an equivalent expression to 2 + 3 + 5 + 6 by combining like terms.
2. Find the sum of (8a – 2b - 4) and (3b − 5).
3.Write the expression in standard form: 4(2a) + 7(−4b) + (3 ∙ c ∙ 5).
Answer:
a)[tex]2 + 3 + 5 + 6 = 16[/tex]
b)[tex]8a + b-9[/tex]
c)[tex]8a - 28b + 15c[/tex]
Step-by-step explanation:
We are given the following in the question:
1. Equivalent expression
[tex]2 + 3 + 5 + 6[/tex]
Since all the terms are like terms, we can write,
[tex]2 + 3 + 5 + 6 = 16[/tex]
2. Sum of given expression
[tex](8a - 2b - 4) \text{ and } (3b - 5)\\ (8a - 2b - 4) + (3b -5)\\= 8a -2b -4 + 3b -5\\\text{Collecting the like terms}\\8a + (-2b+3b) + (-4-5)\\= 8a + b-9[/tex]
3. Standard form of the expression
[tex]4(2a) + 7(-4b) + (3 \times c \times 5)\\=(8a) + (-28b) + (15c)\\=8a - 28b + 15c[/tex]
which is the required standard form of the given expression.