A random sample of n = 83 measurements is drawn from a binomial population with probability of success 0.4. Complete parts a through d below.
a. Give the mean and standard deviation of the sampling distribution of the sample proportion, p. The mean of the sampling distribution of p is The standard deviation of the sampling distribution of p is (Round to four decimal places as needed.)
b. Describe the shape of the sampling distribution of p. 0 A The shape of the sampling distribution of p is approximately normal because the sample size is small. The shape of the sampling distribution of p is approximately normal because the sample size is large The shape of the sampling distribution of p is approximately uniform because the sample size is smal ○ C. O D. The shape of the sampling distribution of p is approximately uniform because the sample size is large.
c. Calculate the standard normal z-score corresponding to a value of p=0.41. The standard normal z-score corresponding to a value of p: 041 is . Round to two decimal places as needed.) Finn)

Answer:

Both three and six are divisible by three. Therefore, this fraction could be simplified to one-half.

Step-by-step explanation:

Three divided by three is equal to one.

Answer: odd number:1/2

number less than six:5/6

Step-by-step explanation:

Answer:

185

Step-by-step explanation:

cause if you add up 80+65+40 right?

To find the overall probability of leaving on-time, we consider the probabilities of each airline and their respective on-time rates. The weighted average of the on-time rates is calculated using the percentages of scheduled flights for each airline. Summing up the weighted contributions gives us the overall probability of leaving on-time.

To find the overall probability of leaving on-time, we need to consider the probabilities of each airline and their respective on-time rates. First, we calculate the weighted average of the on-time rates using the percentages of scheduled flights for each airline.

Airline A contributes 50% of the flights with an 80% on-time rate, so its weighted contribution is 0.5 x 0.8 = 0.4.

Airline B contributes 30% of the flights with a 65% on-time rate, so its weighted contribution is 0.3 x 0.65 = 0.195.

Airline C contributes 20% of the flights with a 40% on-time rate, so its weighted contribution is 0.2 x 0.4 = 0.08.

To find the overall probability, we sum up the weighted contributions: 0.4 + 0.195 + 0.08 = 0.675.

Therefore, the overall probability of leaving on-time is 0.675 or 67.5%.

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Answer:

17 adult tickets

23 children's tickets

Step-by-step explanation:

Adult tickets 17x7=119

Child tickets 23x5=115                     23 is 6 more than 17.

119+115=234

Given:

Given that the rectangular prism with length l = 2..6 yards.

The width of the rectangular prism is 3.5 yards.

The height of the prism is h yards.

We need to determine the simplified expression for the surface area of the rectangular prism.

We also need to determine the surface area of the prism if the height is 4 yards.

Expression for the surface area of the prism:

The surface area of the rectangular prism can be determined using the formula,

[tex]SA=2(lw+wh+lh)[/tex]

Substituting l = 2.6, w = 3.5, h = h, we get;

[tex]SA=2[(2.6)(3.5)+(3.5)h+(2.6)h][/tex]

[tex]SA=2(9.1+3.5h+2.6h)[/tex]

[tex]SA=2(9.1+6.1 h)[/tex]

[tex]SA=18.2+12.2h[/tex]

Thus, the simplified expression for the surface area of the prism is [tex]SA=18.2+12.2h[/tex]

Surface area of the prism:

Now, we shall determine the surface area of the prism if the height is 4 yards.

Substituting the value h = 4 in the expression [tex]SA=18.2+12.2h[/tex], we have;

[tex]SA=18.2+12.2(4)[/tex]

[tex]SA=18.2+48.8[/tex]

[tex]SA=67 \ yd^2[/tex]

Thus, the surface area of the rectangular prism is 67 square yards.

Answer:

d) A two-sample z-interval for a difference in sample proportions

Step-by-step explanation:

Explanation:-

Given data a random sample of 40 engines of one design, 14 failed to ignite as a result of fuel system error.

First sample proportion    [tex]p_{1} = \frac{14}{40} = 0.35[/tex]

Given data random sample of 30 engines of a second design, 9 failed to ignite as a result of fuel system error.

second sample proportion   [tex]p_{2} = \frac{9}{30} = 0.30[/tex]

Null hypothesis: H₀: Assume that there is no significant between the two designs

H₀: p₁ = p₂

Alternative Hypothesis: H₁:

H₁: p₁ ≠ p₂

The test statistic

                          [tex]Z = \frac{p_{1}-p_{2} }{\sqrt{p q(\frac{1}{n_{1} } + \frac{1}{n_{2} } } )}[/tex]

where [tex]p = \frac{n_{1} p_{1}+n_{2} p_{2} }{n_{1} +n_{2} }[/tex]

          q =1-p

Answer:

E

Step-by-step explanation:

A two-sample z-interval for a difference in population proportions

To solve the equation 2 sin(2θ) = 1, find the angles θ where sin(2θ) equals 1/2. The solutions for θ are π/12 + kπ, where k is any integer.

To solve the equation 2 sin(2θ) = 1, we can divide both sides of the equation by 2 to get sin(2θ) = 1/2. Since the range of sin function is -1 to 1, we need to find the angles θ where sin(2θ) equals 1/2.

Using the inverse sine function, we can find the principal value of 2θ which is π/6 radians. This gives us one solution for θ: π/12.

Since sin function is periodic with period of 2π, we can find additional solutions by adding integer multiples of π to the principal value. Therefore, the solutions for θ are π/12 + kπ, where k is any integer.

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To subtract the matrices [5 0 - 2] and [-1 3 8], subtract each corresponding element, resulting in the matrix [6 -3 -10].

The question asks for the result of the subtraction of two matrices: [5 0 - 2] minus [-1 3 8]. When we subtract matrices, we subtract the corresponding elements from each matrix. Therefore, this subtraction will result in a new matrix where each element is the subtraction of the corresponding elements from the given matrices.

To perform the subtraction, we subtract each element in the second matrix from the corresponding element in the first matrix:

So, the result of the matrix subtraction is [6 -3 -10].

Answer:

Renaming a fraction

Step-by-step explanation:

Answer:

1. renaming a fraction

2. de-c

Step-by-step explanation:

Answer:

  $28

Step-by-step explanation:

The markup was 0.40×$20 = $8, so the new price is ...

 $20 +8 = $28

Answer:

75%

Step-by-step explanation:

Answer:

The student who did the German test scored 2 standard deviations above the mean and the student who did the French test scored 1.6 standard deviations above the mean. Relative to their classmates, the student who did the German test scored better due to the higher z-score.

Step-by-step explanation:

Z-score

In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the zscore of a measure X is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

German test

Mean was 66 and the standard deviation was 8, scored an 82.

So

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]Z = \frac{82 - 66}{8}[/tex]

[tex]Z = 2[/tex]

French test:

Mean was 27 and the standard deviation was 5, scored a 35.

So

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]Z = \frac{35 - 27}{5}[/tex]

[tex]Z = 1.6[/tex]

The student who did the German test scored 2 standard deviations above the mean and the student who did the French test scored 1.6 standard deviations above the mean. Relative to their classmates, the student who did the German test scored better due to the higher z-score.

Final answer:

The German test taker scored 2 standard deviations above the mean, while the French test taker scored 1.6 standard deviations above the mean. Thus, the German test taker scored comparatively higher relative to their peers.

Explanation:

To compare the scores of the two high school students who took equivalent language tests in German and French, we need to calculate the z-scores for each. The z-score is a measure that describes how far an individual test score is from the mean of the respective test, in terms of standard deviations. Let's calculate:

For the German test:

ZGerman = (Score - Mean) / Standard Deviation

ZGerman = (82 - 66) / 8

ZGerman = 16 / 8

ZGerman = 2.0

For the French test:

ZFrench = (Score - Mean) / Standard Deviation

ZFrench = (35 - 27) / 5

ZFrench = 8 / 5

ZFrench = 1.6

Comparing these z-scores, the student who took the German test scored higher relative to their peers (2 standard deviations above the mean) compared to the student who took the French test (1.6 standard deviations above the mean).

Answer:

between 120 and 153 mph in race A between 125 and 145 mph in race B

Step-by-step explanation:

i got it right on my test

Answer:

its

C.between 120 and 153 mph in race A; between 125 and 145 mph in race B

Step-by-step explanation:

Answer:

[tex] \bigg(\frac{2}{5} \bigg)^{4} [/tex]

Step-by-step explanation:

[tex] \frac{2}{5} \times \frac{2}{5} \times \frac{2}{5} \times \frac{2}{5} = \bigg(\frac{2}{5} \bigg)^{4} \\ [/tex]

Answer:

We conclude that the mean temperature of humans is more than or equal to 98.6°F.

Step-by-step explanation:

We are given that it has long been stated that the mean temperature of humans is 98.6°F. ​However, two researchers currently involved in the subject thought that the mean temperature of humans is less than 98.6°F.

They measured the temperatures of 44 healthy adults 1 to 4 times daily for 3​ days, obtaining 200 measurements. The sample data resulted in a sample mean of 98.3°F and a sample standard deviation of 1°F.

Let [tex]\mu[/tex] = true mean temperature of humans.

SO, Null Hypothesis, [tex]H_0[/tex] : [tex]\mu \geq[/tex] 98.6°F   {means that the mean temperature of humans is more than or equal to 98.6°F}

Alternate Hypothesis, [tex]H_A[/tex] : [tex]\mu[/tex] < 98.6°F   {means that the mean temperature of humans is less than 98.6°F}

The test statistics that will be used here is One-sample t test statistics as we don't know about the population standard deviation;

                        T.S.  = [tex]\frac{\bar X -\mu}{\frac{s}{\sqrt{n} } }[/tex]  ~ [tex]t_n_-_1[/tex]

where, [tex]\bar X[/tex] = sample mean temperature of 44 adults = 98.3°F

             s = sample standard deviation = 1°F

             n = sample of healthy adults = 44

So, test statistics  =   [tex]\frac{98.3-98.6}{\frac{1}{\sqrt{43} } }[/tex]  ~ [tex]t_4_3[/tex]

                               =  -1.967

Hence, the value of test statistics is -1.967.

Now, P-value of the test statistics is given by;

      P-value = P( [tex]t_4_3[/tex] < -1.967) = 0.029 or 2.9%

Now, here the P-value is 0.029 which is clearly higher than the level of significance of 0.01, so we will not reject our null hypothesis as it will not fall in the rejection region.

Therefore, we conclude that the mean temperature of humans is more than or equal to 98.6°F.

Answer:

B. Information from the sample is typical of information in the population.

Step-by-step explanation:

In Statistical Research, a Bias refers to the tendency of a sample statistic to systematically overestimate or underestimate a population parameter.

(A)When portions of the population are excluded or underrepresented from the sample, it is a Sampling Bias.

(C)When those responding to a survey or poll differ systematically from the nonrespondents, it is referred to as Non-Response Bias.

(D)When certain groups in the population are systematically underrepresented in the sample, it is referred to as Selection Bias.

Therefore option B is not an example of a Bias.

Final answer:

The correct answer is "Information from the sample overemphasizes a particular stratum of the population."

Explanation:

Bias in research refers to systematic errors or deviations from the true population value. It can occur at various stages, including during sampling, data collection, analysis, and interpretation. The options provided describe different forms of bias commonly encountered in research:

1. Exclusion or underrepresentation of portions of the population from the sample is known as sampling bias. This can lead to results that do not accurately reflect the characteristics of the entire population.

2. Overemphasizing a particular stratum of the population is an example of selection bias. This occurs when certain groups within the population are disproportionately represented in the sample, leading to skewed or inaccurate results.

3. Differences between respondents and nonrespondents in a survey or poll can lead to nonresponse bias. This occurs when those who choose to respond to a survey differ systematically from those who do not respond, leading to results that may not be generalizable to the entire population.

4. Systematic underrepresentation of certain groups in the sample can also lead to bias. This is similar to sampling bias but specifically refers to the consistent exclusion or underrepresentation of certain demographic groups.

It is important to recognize and address bias in research to ensure the validity and reliability of the findings. Researchers can use various techniques such as random sampling, stratified sampling, and sensitivity analysis to mitigate bias and improve the quality of their research.

Answer:

31.2

Step-by-step explanation:

Because you only round up if the number next to the 1st decimal place is greater than 5, you just drop the 4 and keep 31.2.

you just drop the 4 and keep 31.2.

It would actually depend on the way that you want your result. It can be in h, min, s

For example, in hours it would be 5.5h

in minutes, 330min

in seconds, 19800s

She should write 5.5 hours on her time card.

To write 5 hours and 30 minutes on her time card, she can simply write 5.5 hours. This is because 30 minutes is half of an hour, so it can be represented as 0.5 hours.

Answer:

You did not include your graph, therefore I will explain in the step-by-step everything you should need to know.

Step-by-step explanation:

The standard slope formula is y=mx + b, where m = slope (rise/run) and b = the y intercept.

Using this knowledge, we know that this line has a slope of 5, or 5/1, which means that you will go up 5 and 1 to the right. Since there is no + b part, that means b = 0, so the line begins at 0,0. So, using this information, possible points include 0,0, 5,1, 10,2, 15,3, etc.

Answer:

3 4/7 = 25/7

Step-by-step explanation:

multiply the whole number(3) by the denominator(7).

Then you have 21.

Add the product of the last 2 numbers to the numerator(4)

21 + 4 = 25

Note: (denominator x whole number) + numerator

We are required to convert 3 and 4/7 to an improper fraction.

The fraction 3 and 4/7 to an improper fraction is 25 / 7

Given:

3 4/7

= {7(3) + 4} / 7

= (21 + 4) / 7

= 25 / 7

Therefore, the fraction 3 and 4/7 to an improper fraction is 25 / 7

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Answer:

[tex]z=-2.33<\frac{a-8.9}{1.9}[/tex]

And if we solve for a we got

[tex]a=8.9 -2.33*1.9=4.47[/tex]

And the best answer for this case would be:

A) 4.47 lb

Step-by-step explanation:

Let X the random variable that represent the weights of juvenile turkeys, and for this case we know the distribution for X is given by:

[tex]X \sim N(8.9,1.9)[/tex]  

Where [tex]\mu=8.9[/tex] and [tex]\sigma=1.9[/tex]

The z score formula very useful for this case is given by:

[tex]z=\frac{x-\mu}{\sigma}[/tex]

For this part we want to find a value a, such that we satisfy this condition:

[tex]P(X>a)=0.99[/tex]   (a)

[tex]P(X<a)=0.01[/tex]   (b)

Both conditions are equivalent on this case. We can use the z score again in order to find the value a.  

As we can see on the figure attached the z value that satisfy the condition with 0.01 of the area on the left and 0.99 of the area on the right it's z=-2.33. On this case P(Z<-2.33)=0.01 and P(z>-2.33)=0.99

If we use condition (b) from previous we have this:

[tex]P(X<a)=P(\frac{X-\mu}{\sigma}<\frac{a-\mu}{\sigma})=0.01[/tex]  

[tex]P(z<\frac{a-\mu}{\sigma})=0.01[/tex]

So we have this relation

[tex]z=-2.33<\frac{a-8.9}{1.9}[/tex]

And if we solve for a we got

[tex]a=8.9 -2.33*1.9=4.47[/tex]

And the best answer for this case would be:

A) 4.47 lb

Given Information:

Cost price of lettuce = $10

Selling price of lettuce = $21

Salvage value = $2

Average demand of lettuce = μ = 262 boxes

Standard deviation of lettuce = σ = 43 boxes

Required Information:

How many boxes of lettuce should the supermarket purchase = ?

Answer:

n = 271 boxes

Step-by-step explanation:

The required number of lettuce boxes that supermarket should purchase is given by

n = μ + (z-score)σ

Where μ is the average demand of lettuce boxes, σ is the standard deviation, and z-score can be calculated by

p = C_us/(C_us + C_os)

Where the cost of under stocking is given by

C_us = Selling price of lettuce - Cost price of lettuce

C_us = $21 - $10

C_us = $11

The cost of over stocking is given by

C_os = Cost price of lettuce - Salvage value

C_os = $10 - $2

C_os = $8

p = C_us/(C_us + C_os)

p = 11/(11 + 8)

p ≈ 58%

The z-score corresponding to 58% is 0.202

n = 262 + (0.202)43

n = 270.68

n = 271 boxes

Therefore, the supermarket should purchase 271 boxes of lettuce tomorrow.

Answer:

The store sold 120 ounces fewer ounces of cashew than walnut.

The store sold 11.25 pounds of cashews and 18.75 pounds of walnuts.

To find out how many pounds of each type of nut were sold, we first need to multiply the number of cans sold by the weight of each can. This gives us the total weight in ounces. Then, we convert from ounces to pounds.

For the cashews: 30 cans * 6 ounces/can = 180 ounces. 180 ounces / 16 ounces/pound = 11.25 pounds of cashews.

For the walnuts: 30 cans * 10 ounces/can = 300 ounces. 300 ounces / 16 ounces/pound = 18.75 pounds of walnuts.

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Answer:

1/105 m³

Step-by-step explanation:

the volume of a rectangular prism = base area x height

1/3 x 1/5 x 1/7 = 1/105 m³

Answer:

1/105m^3

Step-by-step explanation:

I did the question and it was correct

Answer:

Anna33 diane11

Step-by-step explanation:

11×3=33

33+11=44

Answer:

4. False

5. False

Step-by-step explanation:

4. Plug in 9 for x in the inequality:

13 - 9 < 4

4 < 4

We see that 4 is actually not less than 4, but is equal. So, this inequality is FALSE.

5. Plug in 20 for x in the inequality:

45 < 2 * 20 - 5

45 < 40 - 5

45 < 35

Obviously, 45 is larger than 35, so this is also FALSE.

Hope this helps!

Answer:

Both false

Step-by-step explanation:

4.

Substitute 9 in for x in the inequality

13 - x< 4

13 - 9< 4

Subtract

4< 4

4 is not less than 4, but is equal, so this is false.

5.

Substitute 20 in for x in the inequality

45 < 2x - 5

45 < 2(20) - 5

Multiply

45 < 40 - 5

Subtract

45 < 35

Since 35 is not greater than 45, this is false.

Answer:

The minimum score required for an A grade is 89.8.

Step-by-step explanation:

We are given that a psychology professor assigns letter grades on a test according to the following scheme. A : Top 7% of scores. B : Scores below the top 7% and above the bottom 64%. C : Scores below the top 36% and above the bottom 25%. D : Scores below the top 75% and above the bottom 6%. F : Bottom 6% of scores.

Scores on the test are normally distributed with a mean of 78.4 and a standard deviation of 7.6.

Let X = Scores on the test

SO, X ~ Normal([tex]\mu=78.4,\sigma^{2} =7.6^{2}[/tex])

The z-score probability distribution for normal distribution is given by;

                              Z = [tex]\frac{X-\mu}{\sigma}[/tex] ~ N(0,1)

where, [tex]\mu[/tex] = mean time = 78.4

            [tex]\sigma[/tex] = standard deviation = 7.6

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

Now, the minimum score required for an A grade so that it represents Top 7% of scores is given by;

      P(X [tex]\geq[/tex] x) = 0.07   {where x is the required minimum score

      P( [tex]\frac{X-\mu}{\sigma}[/tex] [tex]\geq[/tex] [tex]\frac{x-78.4}{7.6}[/tex] ) = 0.07

       P(Z [tex]\geq[/tex] [tex]\frac{x-78.4}{7.6}[/tex] ) = 0.07

So, the critical value of x in the z table which represents the top 7% of the area is given as 1.4996, that is;

                        [tex]\frac{x-78.4}{7.6} =1.4996[/tex]

                        [tex]{x-78.4}{} =1.4996\times 7.6[/tex]

                        [tex]x[/tex]  = 78.4 + 11.39696 = 89.8 or 90

Hence, the minimum score required for an A grade is 89.8.

The equation -9x - 3y^2 = 6 does not represent a function of x because each x-value has two possible y-values.

In order to determine if an equation represents a function of x, we need to check if each value of x produces a unique y-value. This means that for any x-value, there cannot be more than one y-value.

When we rearrange the given equation, we can solve for y in terms of x: y = sqrt((-9x - 6)/3). Since the square root of a positive number always has two possible values (positive and negative), we have two possible y-values for each x-value. Therefore, the given equation does not represent a function of x.

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Answer:

63.6 square cm

Step-by-step explanation:

[tex]d = 9 \: cm \implies \: r = 4.5 \: cm \\ area \: of \: circle \\ = \pi {r}^{2} \\ = 3.14 \times ( {4.5})^{2} \\ = 3.14 \times 20.25 \\ = 63.585 \\ = 63.6 \: {cm}^{2} \\ [/tex]