Mollie is training for a race. She will swim, bike and run during the race. One week, she swims 1 2/4 miles and bikes 22 3/4 miles. She also runs during rhe week. The total distance she swims, bikes, and runs during the week is 30 2/4 miles. How far does she run during the week?

Answer:

Find the arc length.

532.95863765

Step-by-step explanation:

Answer:

There are 4 desired outcomes.

Step-by-step explanation:

You want to select a white ball from a bag of balls. So the number of desired outcomes is the number of white balls in the bag.

In this problem:

Ball being drawn from a bag containing 4 white balls, 3 black balls, and 5 red balls

4 white balls

So there are 4 desired outcomes.

Answer:

[tex]a_{n} = 32(\frac{1}{4})^{n-1}[/tex]

Step-by-step explanation:

The nth term of a geometric sequence is given by the following equation.

[tex]a_{n+1} = ra_{n}[/tex]

In which r is the common ratio.

This can be expanded for the nth term in the following way:

[tex]a_{n} = a_{1}r^{n-1}[/tex]

In which [tex]a_{1}[/tex] is the first term.

This means that for example:

[tex]a_{3} = a_{1}r^{3-1}[/tex]

So

[tex]a_{3} = a_{1}r^{2}[/tex]

[tex]2 = a_{1}(\frac{1}{4})^{2}[/tex]

[tex]2 = \frac{a_{1}}{16}[/tex]

[tex]a_{1} = 32[/tex]

Then

[tex]a_{n} = 32(\frac{1}{4})^{n-1}[/tex]

The maximum number of students that attend the trip is 160.

To determine the number of students that go on the trip, to consider the cost of theatre tickets, train tickets, and the allotted budget.

Let's denote the number of students as S. We know that the cost of each theatre ticket is £36 and that there are 2 teachers attending. Therefore, the total cost of theatre tickets for the teachers is 2 × £36 = £72.

The remaining budget after accounting for the cost of theatre tickets for the teachers is £2000 - £72 = £1928.

Each student will require a train ticket costing £12. So, the cost of train tickets for S students will be 12S.

to find the maximum number of students (S) that can be accommodated within the remaining budget.

From the remaining budget, the cost of train tickets for the students should be less than or equal to the available funds:

12S ≤ £1928

To solve for S, we divide both sides of the inequality by 12:

S ≤ £1928 / 12

S ≤ 160.67

Since the number of students must be a whole number, the maximum number of students that can go on the trip is 160.

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Final answer:

The margin of error for a 95% confidence interval, given a standard error of 1.91, is approximately 3.74 when rounded to two decimal places.

Explanation:

To find the margin of error for a 95% confidence interval when the standard error is given, we will use the concept of the z-score that corresponds to our desired confidence level. For a 95% confidence interval, the z-score is typically 1.96, which is the critical value for a normal distribution that leaves 2.5% in each tail. The margin of error (MoE) is calculated by multiplying the standard error (SE) by the z-score.

Margin of Error = z * SE

Marginal Error for our scenario = 1.96 * 1.91

Therefore, the Margin of Error = 3.7436. Rounding this to two decimal places gives us a Margin of Error of approximately 3.74.

Answer:

the total workdone required to to lift the chain from its top end so that its bottom is 2 meters above the ground = 661 J

Step-by-step explanation:

Given that:

The mass density of the chain is [tex]\rho (x) = 2x( 4-x) \ kg/m[/tex]

It is pertinent and crucial to consider the determination of the work-done in lifting the chain from its front in that its bottom is 2 meters away from the ground.

Consider a cross section portion of the chain of length  Δx that has to be lifted to a height [tex]x_k[/tex]

The required wok to be done for this work is [tex]W_k = \rho(x_k)g \delta x(x_k)[/tex]

combining the segments of the chain and taking the [tex]\delta x[/tex]→0

Integrally, the work-done can be illustrated as :

[tex]\int\limits^3_0 \rho {(x_k)} \, gxdx \ \ = \ \ \int\limits^3_0 (9.8) 2x^2 (4-x)dx \\\\= 19.6 \int\limits^3_0 (4x^2-x^3)dx\\\\\\= 19.6 [ \frac{4}{3}x^2- \frac {x^4}{4}]^3__0}}dx\\\\\\= 19.6 [ \frac{4}{3}(3)^2- \frac {3^4}{4}]}dx\\\\= 19.6 (36- \frac{81}{4})\\\\\\= 308.7 \ \ J[/tex]

Furthermore, there is need to lift the chain  up to 2 meters . So, calculating the weight of the chain ; we have:

Weight = [tex]\int\limits^3_0 \rho {x} \, gdx[/tex]

[tex]= \int\limits^3_0 (9.8) {2x}(4-x) \, dx\\ \\\\= 19.6\int\limits^3_0 {(4x-x^2)} \, dx \\\\= 19.6 [ 2x^2 - \frac{x^3}{3}]^3_0\\\\= 19.6 [2(3)^2 - \frac{3^3}{3}]\\\\=19.6 [18-9]\\\\= 176.4 \ \ J[/tex]

Finally .the work-done is said to be equal to the potential energy

∴ W = mgh

W = (176.4)×2

W = 352.8 J

Total workdone = (308.7 + 352.8 ) J

Total workdone = 661 J

Thus, the total workdone required to to lift the chain from its top end so that its bottom is 2 meters above the ground = 661 J

Answer:

Step-by-step explanation:

Answer:

Step-by-step explanation:

Given that,

Length of chain

L = 3m

Linear mass density is

ρ(x) = 2x(4 — x) kg/m lies on the ground

When x = 0, is top of the chain

Work done to lift the chain from top end so that the bottom is 2m above the ground.

Considered the segment of the chain of length ∆x that will be lifted in the positive y direction (+j)m from the foot.

The work needed to lift this segment is given as

Work = mass density × ∆x × gravity

W = ρ × ∆x × g

g is acting downward = 9.8j

Summing over all segment of the chain and passing to the limit as ∆x→0.

Therefore, the total work done needed to full extend the chain is

W = ∫ ρ × ∆x × g x = 0 to 3

Since g is constant

∆x = xdx

Then,

W = g ∫ 2x(4—x)x dx. x= 0 to x = 3

W = 9.81 ∫ (8x² — 2x³)x dx

W = 9.81 ( 8x³/3 — 2x⁴/4)

W=9.81(8x³/3— ½x⁴) from x=0 to x=3

W = 9.81[8(3)³/3 — ½(3⁴)] — 0

W = 9.81 × (72 —40.5)

W = 9.81 × 31.5

Work done= 309.015 J

Lifting the entire chain requires to light the weight

Weight = ∫ρgdx

Weight = g ∫ρ dx. From x=0 to x=3

Weight = g ∫ 2x(4-x) dx

Weight = 9.81 ∫(8x-2x²)dx

Weight = 9.81 [ 8x²/2 - 2x³/3]

Weight = 9.81[4x²-⅔x³] x=0 to x=3

Weight = 9.81[4(3²) — ⅔(3³)]

Weight = 9.81(36—18)

Weight = 9.81 × 18

Weight = 176.58N

Now, this weight is lifted to a height of 2m, then using potential energy formula, we have

P.E = Work = mgh = Weight ×height

Work = W×h = 176.58 × 2

Work = 353.16 J

Then, total workdone is

W = 353.16 + 309.015

W = 662.18 J

The required Work done required to lift the chain from top so that it's bottom is 2m from the ground is 662.18J

Answer:

[tex] X+Y \sim N(\mu_X +\mu_Y , \sqrt{\sigma^2_X +\sigma^2_Y})[/tex]

The mean is given by:

[tex] \mu = 3.8+2.9= 6.7[/tex]

And the standard deviation would be:

[tex] \sigma =\sqrt{1.2^2 + 1.7^2} = 2.08[/tex]

And the distribution for X+Y would be:

[tex] X+Y \sim N(6.7 , 2.08) [/tex]

And the best answer would be:

D.) Mean, 6.7; standard deviation, 2.08

Step-by-step explanation:

Let X the random variable who represent the AP Art History exam we know that the distribution for X is given by:

[tex] X \sim N(3.8, 1.2)[/tex]

Let Y the random variable who represent the AP English exam we know that the distribution for X is given by:

[tex] X \sim N(2.9, 1.7)[/tex]

We want to find the distribution for X+Y. Assuming independence between the two distributions we have:

[tex] X+Y \sim N(\mu_X +\mu_Y , \sqrt{\sigma^2_X +\sigma^2_Y})[/tex]

The mean is given by:

[tex] \mu = 3.8+2.9= 6.7[/tex]

And the standard deviation would be:

[tex] \sigma =\sqrt{1.2^2 + 1.7^2} = 2.08[/tex]

And the distribution for X+Y would be:

[tex] X+Y \sim N(6.7 , 2.08) [/tex]

And the best answer would be:

D.) Mean, 6.7; standard deviation, 2.08

To find the combined mean and standard deviation, use weighted average for means and formula for standard deviation of two independent variables.

To find the combined mean and standard deviation for the AP Art History and AP English exams, we need to use the formulas for combining means and standard deviations when the two sets of data are independent. The combined mean can be found by taking the weighted average of the two means, where the weights are the number of observations in each dataset.

The combined standard deviation can be found using the formula for the standard deviation of the sum of two independent variables. After calculating, the combined mean is 3.35 and the combined standard deviation is 2.08.

So the correct answer is D) Mean, 3.35; standard deviation, 2.08.

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Answer:

i. Point of estimate:

[tex] \hat \mu = \bar X =143.0[/tex]

ii. Margin of error:

[tex] ME = 2.01 *\frac{56.7}{\sqrt{50}}= 16.12[/tex]

iii. The 90% confidence interval

Replacing in the confidence interval formula we got

[tex]143.0-16.12=126.88[/tex]    

[tex]143.0+16.12=159.12[/tex]    

The 90% confidence interval is 126.88 to 159.12

Step-by-step explanation:

Information given

[tex]\bar X=143.0[/tex] represent the sample mean for the variable of interest

[tex]\mu[/tex] population mean

s=56.7 represent the sample standard deviation

n=50 represent the sample size  

Confidence interval

The confidence interval for the true mean when we don't know the deviation is given by the following formula:

[tex]\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}[/tex]   (1)

In order to calculate the critical value for the confidence interval [tex]t_{\alpha/2}[/tex] we need to find the degrees of freedom, with this formula:

[tex]df=n-1=50-1=49[/tex]

The Confidence level provided is 0.90 or 90%, the value for the significance is [tex]\alpha=1-0.9=0.1[/tex] and [tex]\alpha/2 =0.05[/tex], and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.05,49)".And we see that [tex]t_{\alpha/2}=2.01[/tex]

i. Point of estimate:

[tex] \hat \mu = \bar X =143.0[/tex]

ii. Margin of error:

[tex] ME = 2.01 *\frac{56.7}{\sqrt{50}}= 16.12[/tex]

iii. The 90% confidence interval

Replacing in the confidence interval formula we got

[tex]143.0-16.12=126.88[/tex]    

[tex]143.0+16.12=159.12[/tex]    

The 90% confidence interval is 126.88 to 159.12

Answer:

[tex]b = 12\,m[/tex] and [tex]h = 12\,m[/tex]

Step-by-step explanation:

The formula of the area for a triangle is:

[tex]A = \frac{1}{2}\cdot b\cdot h[/tex]

Where:

[tex]b[/tex] - Base

[tex]h[/tex] - Height

But [tex]b = h[/tex], then, the formula is simplified into this form:

[tex]A = \frac{1}{2}\cdot b^{2}[/tex]

Now, all known variables are substituted and the base is:

[tex]b = \sqrt{2\cdot A}[/tex]

[tex]b = \sqrt{2\cdot (72\,m^{2})}[/tex]

[tex]b = \sqrt{144\,m^{2}}[/tex]

[tex]b = 12\,m[/tex]

And the height is:

[tex]h = 12\,m[/tex]

The base and height of the triangle, both having equal measures, are found to be 12 meters each by using the formula for the area of a triangle and quadratic equations.

The subject of this problem is triangle geometry within Mathematics. The area of a triangle is calculated using the formula A = 1/2 * base * height. Since we know that the base is equal to the height, we can say that base = height, and hence we can modify the formula to become A = 1/2 * base². Given that the area A is 72 square meters, we substitute this value back into the equation to calculate it as follows:

72 = 1/2 * base².

Solving for base (and consequently, height due to its equal measure), we get base = height = √(72 * 2) = √144 = 12 meters.

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The length of the shadow cast by the 29-m tall building is approximately 13.9 m. This is derived by using the Pythagorean theorem, considering the details of the problem as elements of a right triangle.

In this problem, we are given a 29-m tall building and the distance from the top of the building to the tip of the shadow which is 34 m. We are asked to find the length of the shadow. To solve for this, we can use the knowledge of right triangles from geometry.

In this case, the height of the building is one side of a right triangle, the distance from the top of the building to the end of the shadow is the hypotenuse, and the shadow length would be the other side. Since we know the length of the hypotenuse (34 m) and one side (29 m), we can solve for the other side (the shadow length) by using the Pythagorean theorem which states that the square of the hypotenuse (side opposite the right angle) is equal to the sum of the squares of the other two sides.

Expressed in the formula: c^2 = a^2 + b^2. Where 'c' is the hypotenuse and 'a' and 'b' are the other two sides.

Rearranging for 'a', which is the length of the shadow, we get: a^2 = c^2 - b^2. Substituting with the given values results in: a = sqrt(34^2 - 29^2). After calculating, the approximate length of the shadow is 13.9 m (rounded to the nearest tenth).

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Answer:

c) 0.932

99% confidence interval for average weights of all packages sold in small meat trays.

(0.932 ,1.071)

Step-by-step explanation:

Explanation:-

Given random sample of 35 packages in small meat trays produced weight with an average of 1.01 lbs. and standard deviation  of 0.18 lbs.

size of the sample 'n' = 35

mean of the sample x⁻= 1.01lbs

standard deviation of the sample 'S' = 0.18lbs

The 99% confidence intervals are given by

[tex](x^{-} - t_{\alpha } \frac{S}{\sqrt{n} } , x^{-} +t_{\alpha } \frac{S}{\sqrt{n} } )[/tex]

The degrees of freedom γ=n-1 =35-1=34

tₐ =  2.0322

99% confidence interval for average weights of all packages sold in small meat trays

[tex](1.01 - 2.0322 \frac{0.18}{\sqrt{35} } , 1.01+2.0322 \frac{0.18}{\sqrt{35} } )[/tex]

( 1.01 - 0.06183 , 1.01+0.06183)

(0.932 ,1.071)

Final answer:-

99% confidence interval for average weights of all packages sold in small meat trays.

(0.932 ,1.071)

Answer:

Check the explanation

Step-by-step explanation:

The odds are 4 to 1 against, so we can estimate the probability of success (p) as

[tex]\frac{p}{q}=\frac{p}{1-p}=\frac{1}{4}\\\\4p=1-p\\\\5p=1\\\\p=0.2[/tex]

The expected pay for every success is 3 to 1, so we lose $1 for every lose and we gain $3 for every win.

The number of winnings in the 100 rounds to be even can be calculated as:

[tex]W+L=100\\\\L=100-W\\\\\\Payoff=0=3*W-1*L=3W-1*(100-W)=3W+W-100\\\\0=4W-100\\\\W=25[/tex]

We have to win at least 25 rounds to have a positive payoff.

As the number of rounds is big, we will approximate the binomial distribution to a normal distribution with parameters:

[tex]\mu=np=100*0.2=20\\\\\ \sigma=\sqrt{npq}=\sqrt{100*0.2*0.8}=4[/tex]

The z-value for x=25 is

[tex]z=\frac{X-\mu}{\sigma}=\frac{25-20}{4}=1.25[/tex]

The probability of z>1.25 is

P(X>25)=P(z>1.25)=0.10565

There is a 10.5% chance of having a positive payoff.

NOTE: if we do all the calculations for the binomial distribution, the chances of having a net payoff are 13.1%.

Answer:

Hence P values of beta becomes smaller(< 0.0001). and doest affect the mean response

Step-by-step explanation:

Given:

AS Predictor  become more highly correlated .

To find:

Descriptive  Nature of high correlated Predictor .

Solution:

A predictor is high correlated means:

1)It means that the two variables are strongly related to each other.

2)This is also called as problem of multicollinearity when two variables are

in Regression.

Effects when predictor are highly correlated ;

In short ,Mulitcollinearity does not affect the mean response and  new response of the model.

Hence P values of beta becomes smaller(< 0.0001). and doest affect the mean response

Answer:

a.

[tex]\vec{u}=\frac{\bigtriangledown F(-3,3)}{|\bigtriangledown F(-3,3)|}=\frac{1}{\sqrt{2}}[\hat{i}-\hat{j}][/tex] (ascent)

[tex]\vec{u}=-\frac{\bigtriangledown F(-3,3)}{|\bigtriangledown F(-3,3)|}=-\frac{1}{\sqrt{2}}[\hat{i}-\hat{j}][/tex]  (descent)

b.

[tex]\vec{v}=\frac{1}{\sqrt{2}}[\hat{i}+\hat{j}][/tex]

Step-by-step explanation:

a. The function is given by:

[tex]F(x,y)=e^{-(x^2/6+y^2/6)}[/tex]

the point is P(-3,3)

a. The unit vector that gives the direction of the steepest ascent is necessary to compute the gradient of F(x,y):

[tex]\bigtriangledown F(x,y)=e^{-(x^2/6+y^2/6)}(-\frac{x}{3})\hat{i}+e^{-(x^2/6+y^2/6)}(-\frac{y}{3})\hat{j}\\\\\bigtriangledown F(x,y)=-\frac{1}{3}e^{-(x^2/6+y^2/6)}[x\hat{i}+y\hat{j}][/tex]

The, it is necessary to evaluate in the point P, and to compute the norm of the vector in order to get the unit vector:

[tex]\bigtriangledown F(-3,3)=-\frac{1}{3}e^{-(\frac{9}{6}+\frac{9}{6})}[-3\hat{i}+3\hat{j}]\\\\\bigtriangledown F(-3,3)=e^{-3}[\hat{i}-\hat{j}]\\\\|\bigtriangledown F(-3,3)|=\sqrt{(e^{-3})^2+(e^{-3})^2}=\sqrt{2}e^{-3}\\\\\vec{u}=\frac{\bigtriangledown F(-3,3)}{|\bigtriangledown F(-3,3)|}=\frac{1}{\sqrt{2}}[\hat{i}-\hat{j}][/tex]   (ascent)

for the steepest descend you have

[tex]\vec{u}=-\frac{\bigtriangledown F(-3,3)}{|\bigtriangledown F(-3,3)|}=-\frac{1}{\sqrt{2}}[\hat{i}-\hat{j}][/tex]

b.

the vector with the direction of no change is a vector perpendicular to grad(F):

[tex]\bigtriangledown F(-3,3)\cdot \vec{v}=0\\\\e^{-3}v_1-e^{-3}v_2=0\\\\v_1=v_2[/tex]

furthermore, v is an unit vector:

[tex]\sqrt{v_1^2+v_2^2}=1\\\\v_1 ^2+v_1^2=1\\\\2v_1^2=1\\\\v_1=\frac{1}{\sqrt{2}}=v_2[/tex]

then, the vector is:

[tex]\vec{v}=\frac{1}{\sqrt{2}}[\hat{i}+\hat{j}][/tex]

Answer:

28

Step-by-step explanation:

thats math

Answer:

a. possible sample size is 10

b. mean is 3

c standard deviation is 0.9

Step-by-step explanation:

Mean of any given set of numbers is the "average" you're used to, where you add up all the numbers and then divide by the number of numbers.

Standard deviation is a measure of the amount of variation or dispersion of a set of values.

Go to attachment for detailed analysis.

The number of possible samples of size 2 without replacement from a population of 5 objects is 10. The means of these samples can be calculated by taking the combinations of 2 objects and finding their mean. The mean of these means is equal to the population mean. The standard error of these means can be calculated using the variance of the means and the finite population correction factor.

a. To calculate the number of possible samples of size 2 without replacement from a population of 5 objects, we use the combination formula: C(n, r) = n! / (r! * (n-r)!), where n is the population size and r is the sample size. In this case, n = 5 and r = 2, so the number of possible samples is C(5, 2) = 5! / (2! * (5-2)!) = 10.

b. To list all the means of these samples, we take each combination of 2 objects from the population and calculate their mean. For example, one possible sample is {1, 2}, and its mean is (1 + 2) / 2 = 1.5. Similarly, we calculate the means for the other 9 possible samples.

c. To find the mean of these means, we calculate the average of all the means calculated in part b. d. The mean of these means, denoted as E(X), is equal to the population mean, denoted as Mu, when the sampling is done without replacement.

e. To find the standard error sigma(X), we need to calculate the standard deviation of all these means. We can do this by calculating the variance of the means and taking its square root. f. The standard error sigma(X) equals the square root of the variance of the means divided by the square root of the sample size, multiplied by the finite population correction factor.

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Answer:$6250

Step-by-step explanation:

selling price(sp)=12000

Original price(op)=?

sp+500=2 x op

12000+500=2 x op

12500=2 x op

Divide both sides by 2

12500/2=(2 x op)/2

6250=op

Therefore original price is $6250

To find the original price of the car, set up an equation with the given information and solve for X. The original price of the car was $6,250.

To find the original price of the car, we need to set up an equation based on the given information. Let's assume the original price of the car is X. According to the question, the selling price of the car is $12,000, which is $500 less than two times its original price. So, we can write the equation as:

2X - $500 = $12,000

To solve the equation, we add $500 to both sides:

2X = $12,500

Finally, we divide both sides by 2 to find the original price of the car:

X = $6,250

Therefore, the original price of the car was $6,250.

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Answer:

There will be required 590 repair persons.

Step-by-step explanation:

Lets count the amount of minutes that are going to be used per week repairing. The amount of minutes of repair work required per week is

100*23 + 100*42+ 100*19 + 150*27 + 150*35 = 17700.

Each worker works 6 hours per day in average and 5 times per week. This means that each worker will do 30 hours of work each week. Therefore, we will need 17700/30 = 590 workers (In practice you should contract a few more, like 600, just in case).

Answer:

5 hours

Step-by-step explanation:

227.5+97.5=325

325/65=5

(Please vote me Brainliest if this helped!)

A reflection across the line x=-3 is achieved by subtracting each x-coordinate from -6, resulting in a new point of (-6 - x, y). The y-coordinate remains unchanged in the reflection.

In mathematics, a reflection is a transformation that uses a line of reflection to create a mirror image of the original figure. In this case, the line of reflection is x = -3.

To reflect a point across this line, we modify only the x-coordinate of each vertex. The rule for a reflection over the line x = -3 is to take each x-coordinate and subtract it from -6 (which is the double of -3). So, if we have a point (x, y), after the reflection the new point would be (-6 - x, y). This results in a new x-coordinate that is the mirror image around the line x = -3, while the y-coordinate remains unchanged.

For example, if we have a vertex at (2, 5), after the reflection, it would be at (-6 - 2, 5), or (-8, 5).

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Answer:

Step-by-step explanation:

This is a test of 2 independent groups. The population standard deviations are not known. it is a two-tailed test. Let c b the subscript for students using computer and n be the subscript for students not using computer.

Therefore, the population means would be μc and μn.

The random variable is xc - xn = difference in the sample mean scores of students who used computers and those who didn't use computers

We would set up the hypothesis.

The null hypothesis is

H0 : μc = μn H0 : μc - μn = 0

The alternative hypothesis is

Ha : μc ≠ μn Ha : μc - μn ≠ 0

Since sample standard deviation is known, we would determine the test statistic by using the t test. The formula is

(xc - xn)/√(sc²/nc + sn²/nn)

From the information given,

xc = 309

xn = 303

sc = 29

sn = 32

nc = 60

nn = 40

t = (309 - 303)/√(29²/60 + 32²/40)

t = 0.953

The formula for determining the degree of freedom is

df = [sc²/nc + sn²/nn]²/(1/nc - 1)(sc²/nc)² + (1/nn - 1)(sn²/nn)²

df = [29²/60 + 32²/40]²/(1/60 - 1)(29²/60)² + (1/40 - 1)(32²/40)² = 1569.48/20.13

df = 78

We would determine the probability value from the t test calculator. It becomes

p value = 0.344

Assuming a level of significance of 0.05, we would not reject the null hypothesis because the p value, 0.344 is > 0.05

Therefore, we cannot conclude that the population mean scores differ.

Answer:

3(x+5)^2

Step-by-step explanation:

Step 1:

Extract the obvious common constant factor

3(x^2+10x+25)

Step 2:

Recognize the second term as a square

3(x+5)^2

Answer:

=2(4+9w)

=2(4) 2(+9w)

=8 +18w

=18w+8

Step-by-step explanation:

Answer:

$5336.90

Step-by-step explanation:

First step is to filter through what is given And to deduce the important information....

Kindly go through the attached file for further comprehension and a detailed solution.

To determine the average annual income difference between individuals with a 4-year degree and those with a 2-year degree, multiply the education coefficient (2668.45) by 2, resulting in an approximate difference of $5336.90.

Based on the regression analysis provided, the variable coefficient for education is 2668.45. This coefficient represents the average change in annual income associated with an additional year of formal education. If we want to compare the annual earnings of individuals with a 4-year college degree to those with a 2-year degree, we calculate the difference by multiplying the coefficient by the difference in years of education (4 years - 2 years = 2 years).

To find the increase in annual income for those with a 4-year degree compared to a 2-year degree, we perform the following calculation:
2668.45 × 2 = 5336.90.

Therefore, on average, people with a 4-year college degree earn approximately $5336.90 more annually than those with only a 2-year degree, according to this model.

Answer:

One sample z-test for population mean would be the best approach to conduct a hypothesis test.

Step-by-step explanation:

Following is the data available to us:

Mean amount of water = u = 3

Sample mean = x = 2.5

Sample Size = n = 200

Sample Standard Deviation = s = 1

Population Standard Deviation = [tex]\sigma[/tex] = 1.2

Population is normally distributed.

We need to find the best approach to conduct a hypothesis test. Since only one sample is involved, it is a One-Sample test about population mean. for conducting hypothesis test for One-Sample about population mean we have following two options:

Selecting the best approach:

The first thing to check is if our data from a population which is normally distributed. Which in this case is. Next we check if the value of population standard deviation is known or unknown. the rule is:

Since, in this case we know the value of Population Standard Deviation which is 1.2, One sample z-test for population mean would be the best approach to conduct a hypothesis test.

The appropriate approach to conduct a hypothesis test for the claim that the AI, or Adequate Intake of water, for pregnant women is a mean of 3L/d, liters per day, is to use a one-sample t-test.

The one-sample t-test is a statistical test that is used to compare the sample mean to a known population mean. It is appropriate to use this test when the sample size is small (n < 30) and the population standard deviation is unknown.

In this case, the sample size is 200, which is greater than 30, but the population standard deviation is known (1.2). However, it is still appropriate to use the one-sample t-test because the sample size is not large enough to reliably estimate the population standard deviation.

To conduct the one-sample t-test, we will follow these steps:

State the null and alternative hypotheses.

Null hypothesis (H0): The mean water intake for pregnant women is 3L/d.

Alternative hypothesis (Ha): The mean water intake for pregnant women is not 3L/d.

Calculate the test statistic.

The test statistic for the one-sample t-test is calculated as follows:

t = (x - μ) / (s / √n)

where:

x is the sample mean

μ is the known population mean

s is the sample standard deviation

n is the sample size

In this case, the test statistic is calculated as follows:

t = (2.5 - 3) / (1 / √200) = -4.17

Find the p-value.

The p-value is the probability of obtaining a test statistic as extreme or more extreme than the one observed, assuming that the null hypothesis is true.

We can use a t-table to find the p-value. The p-value for a t-statistic of -4.17 with 199 degrees of freedom is less than 0.001.

Make a decision.

Since the p-value is less than the significance level (α = 0.05), we reject the null hypothesis and conclude that there is sufficient evidence to support the claim that the mean water intake for pregnant women is not 3L/d.

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Answer:

all work is shown and pictured

Answer:

14

Step-by-step explanation:

Answer:

that is the solution to the question

The percentage change to 2 decimal places when a price of £60 is increased to £89.99 is 49.98%.

Given that, a price of £60 is increased to £89.99.

Percentage is defined as a given part or amount in every hundred. It is a fraction with 100 as the denominator and is represented by the symbol "%".

Here, old price =£60 and new price =£89.99

Change in price = 89.99-60

= 29.99

Percentage = Change in price/Old price ×100

= 29.99/60 ×100

= 0.4998 ×100

= 49.98%

Therefore, the percentage change to 2 decimal places when a price of £60 is increased to £89.99 is 49.98%.

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Answer:

6x^2

Step-by-step explanation:

Answer:

60% or 3/5

Step-by-step explanation:

Tails was the result 3 times.

There were 5 trials.

The probability is 3/5.