3.

a. A survey of 1000 U.S. adults found that 34% of people said that they would get no work done on Cyber Monday since they would spend all day shopping online. Find the 90% confidence interval of the true proportion. ROUND TO FIVE DECIMAL PLACES

b. In a recent year, 6% of cars sold had a manual transmission. A random sample of college students who owned cars revealed the following: out of 129 cars, 23 had manual transmissions. Estimate the proportion of college students who drive cars with manual transmissions with 99% confidence. ROUND TO THREE DECIMAL PLACES

c. A random sample of 325 college students were asked if they believed that places could be haunted, and 147 responded yes. Estimate the true proportion of college students who believe in the possibility of haunted places with 95% confidence. According toTime magazine, 37% of Americans believe that places can be haunted. ROUND TO THREE DECIMAL PLACES

___ <p<____

d. A CBS News/New York times poll found that 329 out of 763 randomly selected adults said they would travel to outer space in their lifetime, given the chance. Estimate the true proportion of adults who would like to travel to outer space with 94% accuracy. ROUND TO THREE DECIMAL PLACES

___ <p < ____

e. Took a random sample of 200 people, 142 said that they watched educational television. Find the 95% confidence interval of the true proportion of people who watched educational television. ROUND TO THREE DECIMAL PLACES

____ < p < ____

An SAT prep course claims to improve the test score of students. The table below shows the scores for seven students the first two times they took the verbal SAT. Before taking the SAT for the second time, each student took a course to try to improve his or her verbal SAT scores. Do these results support the claim that the SAT prep course improves the students' verbal SAT scores? Let d=(verbal SAT scores prior to taking the prep course)−(verbal SAT scores after taking the prep course). Use a significance level of α=0.05 for the test. Assume that the verbal SAT scores are normally distributed for the population of students both before and after taking the SAT prep course.

Student 1 2 3 4 5 6 7

Score on first SAT 600 380 460 520 470 470 380

Score on second SAT 620 430 480 570 490 550 400

Step 1 of 5:

State the null and alternative hypotheses for the test.

Step 2 of 5:

Find the value of the standard deviation of the paired differences. Round your answer to one decimal place.

Step 3 of 5:

Compute the value of the test statistic. Round your answer to three decimal places.

Step 4 of 5:

Determine the decision rule for rejecting the null hypothesis H₀. Round the numerical portion of your answer to three decimal places.

Step 5 of 5:

Make the decision for the hypothesis test.

An SAT prep course claims to improve the test score of students. The table below shows the scores for seven students the first two times they took the verbal SAT. Before taking the SAT for the second time, each student took a course to try to improve his or her verbal SAT scores. Do these results support the claim that the SAT prep course improves the students' verbal SAT scores?

Let d=(verbal SAT scores prior to taking the prep course)−(verbal SAT scores after taking the prep course). Use a significance level of α=0.1 for the test. Assume that the verbal SAT scores are normally distributed for the population of students both before and after taking the SAT prep course.

Step 1 of 5:

State the null and alternative hypotheses for the test

Step 2 of 5:

Find the value of the standard deviation of the paired differences. Round your answer to one decimal place.

Step 3 of 5:

Compute the value of the test statistic. Round your answer to three decimal places.

Step 4 of 5:

Determine the decision rule for rejecting the null hypothesis H0H0. Round the numerical portion of your answer to three decimal places.

Step 5 of 5:

Make the decision for the hypothesis test.

1. Use this scenario to answer the following questions.

Ms. Fitness-Buff, a high school gym teacher, wants to propose an after-school fitness program. To get an idea of the fitness level of the students at her school, she takes a random sample of 75 students and records the number of hours the students exercised in the past week. Her sample mean is 2.25 hours and she knows from past research that the population standard deviation is 2 hours. She wants to know if this varies from a population mean of 3 hours/week.

1. Construct a 95% confidence interval. (2 points)

2. Draw a conclusion for a two-sided test at a = .05. (1 point)

3. Ms. Fitness-Buff is told that if students exercise less than 3 hours per week, she can start an after-school fitness program. Test this one-sided hypothesis and draw a conclusion at a = .05. (2 points)

4. What would the consequences of a Type I error be in the test from part C? (1 point)

5. What's the probability of a Type I error for the test in part C? (1 point)

6. What would the consequences of a Type II error be for the test from part C? (1 point)

7. What is the rejection region for H_o: m = 3 for the test from part C? (1 point)

8. Calculate the probability of making a Type II error if the true population mean is 2.75. (2 points)

1. What's the power of the test if the true population mean is 2.75? (1 point)

The Gourmand Cooking School runs short cooking courses at its small campus. Management has identified two cost drivers it uses in its budgeting and performance reports—the number of courses and the total number of students. For example, the school might run two courses in a month and have a total of 63 students enrolled in those two courses. Data concerning the company’s cost formulas appear below:

For example, administrative expenses should be $3,800 per month plus $40 per course plus $4 per student. The company’s sales should average $860 per student.

The company planned to run four courses with a total of 63 students; however, it actually ran four courses with a total of only 61 students. The actual operating results for September were as follows:

Required:

Prepare a flexible budget performance report that shows both revenue and spending variances and activity variances for September. (Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e., zero variance). Input all amounts as positive values.)

10. A study was designed to compare the attitudes of two groups of nursing students towards computers. Group 1 had previously taken a statistical methods course that involved significant computer interaction. Group 2 had taken a statistic methods course that did not use computers. The students' attitudes were measured by administering the Computer Anxiety Rating Scale (CARS). A random sample of 17 nursing students from Group 1 resulted in a mean score of 55.3 with a standard deviation of 6.4. A random sample of 11 nursing students from Group 2 resulted in a mean score of 65.4 with a standard deviation of 2.8. Can you conclude that the mean score for Group 1 is significantly lower than the mean score for Group 2? Let μ1 represent the mean score for Group 1 and μ2 represent the mean score for Group 2. Use a significance level of α=0.01 for the test. Assume that the population variances are equal and that the two populations are normally distributed.

Step 1 of 4: State the null and alternative hypotheses for the test.

Ho: μ1 (=,≠,<,>,≤,≥) μ2

Ha: μ1 (=,≠,<,>,≤,≥) μ2

Step 2 of 4: Compute the value of the t test statistic. Round your answer to three decimal places

Step 3 of 4: Determine the decision rule for rejecting the null hypothesis H0. Round your answer to three decimal places.

Reject Ho if (t, I t I) (<,>) ____

Step 4 of 4: State the test's conclusion.

A. Reject Null Hypothesis

B. Fail to Reject Null Hypothesis

An SAT prep course claims to improve the test score of students. The table below shows the scores for seven students the first two times they took the verbal SAT. Before taking the SAT for the second time, each student took a course to try to improve his or her verbal SAT scores. Do these results support the claim that the SAT prep course improves the students' verbal SAT scores?

Let d=(verbal SAT scores prior to taking the prep course)−(verbal SAT scores after taking the prep course)d=(verbal SAT scores prior to taking the prep course)−(verbal SAT scores after taking the prep course). Use a significance level of α=0.01 for the test. Assume that the verbal SAT scores are normally distributed for the population of students both before and after taking the SAT prep course.

1. State the null and alternative hypotheses for the test.

2. Find the value of the standard deviation of the paired differences. Round your answer to one decimal place.

3. Compute the value of the test statistic. Round your answer to three decimal places.

4. Determine the decision rule for rejecting the null hypothesis. Round the numerical portion of your answer to three decimal places.

5. Make the decision for the hypothesis test.

An SAT prep course claims to improve the test score of students. The table below shows the scores for seven students the first two times they took the verbal SAT. Before taking the SAT for the second time, each student took a course to try to improve his or her verbal SAT scores. Do these results support the claim that the SAT prep course improves the students' verbal SAT scores?

Let d=(verbal SAT scores prior to taking the prep course)−(verbal SAT scores after taking the prep course)d=(verbal SAT scores prior to taking the prep course)−(verbal SAT scores after taking the prep course). Use a significance level of α=0.1 for the test. Assume that the verbal SAT scores are normally distributed for the population of students both before and after taking the SAT prep course.

1. State the null and alternative hypotheses for the test.

2. Find the value of the standard deviation of the paired differences. Round your answer to one decimal place.

3. Compute the value of the test statistic. Round your answer to three decimal places.

4. Determine the decision rule for rejecting the null hypothesis. Round the numerical portion of your answer to three decimal places.

5. Make the decision for the hypothesis test.

The Gourmand Cooking School runs short cooking courses at its small campus. Management has identified two cost drivers it uses in its budgeting and performance reports—the number of courses and the total number of students. For example, the school might run two courses in a month and have a total of 63 students enrolled in those two courses. Data concerning the company’s cost formulas appear below: Fixed Cost per Month Cost per Course Cost per Student Instructor wages $ 2,940 Classroom supplies $ 270 Utilities $ 1,220 $ 55 Campus rent $ 4,800 Insurance $ 2,000 Administrative expenses $ 3,600 $ 42 $ 5 For example, administrative expenses should be $3,600 per month plus $42 per course plus $5 per student. The company’s sales should average $850 per student. The company planned to run four courses with a total of 63 students; however, it actually ran four courses with a total of only 57 students. The actual operating results for September appear below: Actual Revenue $ 50,650 Instructor wages $ 11,040 Classroom supplies $ 16,860 Utilities $ 1,850 Campus rent $ 4,800 Insurance $ 2,140 Administrative expenses $ 3,509 Required: Prepare a flexible budget performance report that shows both revenue and spending variances and activity variances for September. (Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e., zero variance). Input all amounts as positive values.)

The Gourmand Cooking School runs short cooking courses at its small campus. Management has identified two cost drivers it uses in its budgeting and performance reports—the number of courses and the total number of students. For example, the school might run two courses in a month and have a total of 64 students enrolled in those two courses. Data concerning the company’s cost formulas appear below:

For example, administrative expenses should be $3,500 per month plus $42 per course plus $4 per student. The company’s sales should average $900 per student.

The company planned to run four courses with a total of 64 students; however, it actually ran four courses with a total of only 54 students. The actual operating results for September appear below:

Required:

Prepare a flexible budget performance report that shows both revenue and spending variances and activity variances for September. (Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e., zero variance). Input all amounts as positive values.)

SOME OF MY NUMBERS ARE WRONG, PLEASE HELP!!!!