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 $3,600 per month plus $44 per course plus $6 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:

1. Prepare the company’s planning budget for September.

2. Prepare the company’s flexible budget for September.

3. Calculate the revenue and spending variances for September.

Testing the effect of meal type on test performance.Hypothesize that students eating a high protein meal will have higher test performance than students consuming a high carbohydrate meal. Forty students from the researcher’s Introduction to Psychology course were randomly selected from the 250 students in the course for participation in the study. Randomly assigned to either the high protein group or the high carbohydrate group. Each was then given a standardized test over intro psych material one hour after meal consumption (% correct is recorded). The data is below.

Protein              Carbohydrate

Mean =   86.95                       Mean = 75.3

S =      7.337538667                         S = 8.137631881

S² =   53.83947368                          S² =  66.22105263

A. What is your computed answer (t, F, or r) ? (What do I do here calculate a t-obs or t-crit? What does that mean/how do I do it? Vassarstats?)

B. What probability level did you choose and why?

C. If you have made an error, would it be a Type I or a Type II error? Explain your answer.

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 65 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 $45 per course plus $3 per student. The company’s sales should average $870 per student.

The company planned to run four courses with a total of 65 students; however, it actually ran four courses with a total of only 55 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.

what is the upper and lower limit?

B) Health care issues are receiving much attention in both academic and political arenas. A sociologist recently conducted a survey of citizens over 60 years of age whose net worth is too high to qualify for government health care but who have no private health insurance. The ages of 25 uninsured senior citizens were as​ follows:

Find Q1 of the data.

A.66.5 B. 64.5 C. 81.5 D. 65.5

C) A university dean is interested in determining the proportion of students who receive some sort of financial aid. Rather than examine the records for all​ students, the dean randomly selects 200 students and finds that 118 of them are receiving financial aid. Use a 99​% confidence interval to estimate the true proportion of students on financial aid.

a)0.59±0.0033. b)0.59±0.09090 c)0.59±0.0077 d)0.59±0.623

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 41.1 with a standard deviation of 7.5 A random sample of 15 nursing students from Group 2 resulted in a mean score of 49.3 with a standard deviation of 8.9 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.

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 H0H0. Round your answer to three decimal places.

Step 4 of 4: State the test's conclusion. (Reject or fail to reject null hypothesis)

A study published in 2008 in the American Journal of Health Promotion (Volume 22, Issue 6) by researchers at the University of Minnesota (U of M) found that 124 out of 1,923 U of M females had over $6,000 in credit card debt while 61 out of 1,236 males had over $6,000 in credit card debt.

a. Construct a 95% confidence interval for the difference between the proportions of female and male U of M students who have more than $6000 in credit card debt (pf−pm). Round your sample proportions and margin of error to four decimal places

Answer: (  , )

b. Test, at 5% level, if there is evidence that the proportion of female students at U of M with more than $6000 credit card debt is greater than the proportion of males at U of M with more than $6000 credit card debt.

H0:pf=pm
Ha:pf _ pm

where pf: proportion of female U of M students with more than $6000 credit card debt,
pm: proportion of male U of M students with more than $6000 credit card debt

Pooled proportion (for standard error) p̂= ? (round to 4 decimal places)

Test statistic z= ? (round to 3 decimal places)

p-value= ? (round to 3 decimal places)

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 $3,600 per month plus $42 per course plus $4 per student. The company’s sales should average $880 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 58 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.

Scenario 1:

The elected officials in a west coast university town are concerned about the "exploitative" rents being charged to college students. The town council is contemplating the imposition of a $350 per month rent ceiling on apartments in the city. An economist at the university estimates the demand and supply curves as:

            QD = 5600 - 8P    QS = 500 + 4P,               

where P = monthly rent, and Q = number of apartments available for rent. For purposes of this analysis, apartments can be treated as identical.

Consider Scenario 1 in the Supplement. Which of the following would vote for this price ceiling to be imposed? (Mark all that apply)

Consider Scenario 1 in th Supplement. Which of the following things are likely to happen as a direct result of implementing the price ceiling? (mark all that apply)

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 10 nursing students from Group 1 resulted in a mean score of 55.9 with a standard deviation of 5.4. A random sample of 14 nursing students from Group 2 resulted in a mean score of 64.5 with a standard deviation of 5.7. 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=0.05 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.

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 H0 if (t, ItI) (<,>)_____________

Step 4 of 4: State the test's conclusion. (Reject or Fail to Reject Null Hypothesis)

A researcher wished to compare the average amount of time spent in extracurricular activities by high school students in a suburban school district with that in a school district of a large city. The researcher obtained a simple random sample of 60 high school students in a large suburban school district and found the mean time spent in extracurricular activities per week to be six hours with a standard deviation of three hours. The researcher also obtained an independent simple random sample of 40 high school students in a large city school district and found the mean time spent in extracurricular activities per week to be four hours with a standard deviation of two hours. Let μ1 and μ2 represent the mean amount of time spent in extracurricular activities per week by the populations of all high school students in the suburban and city school districts, respectively. Assume two-sample t procedures are safe to use.

A. What is a 95% confidence interval for μ1 – μ2? (Use the conservative value for the degrees of freedom.)

a.2 ± 1.01 hours

b.2 ± 0.5 hours

c.2 ± 0.84 hours

d.2 ± 1.34 hours

B. What can we say about the value of the P-value? (Assume population variances are equal.)

a. P-value > 0.10

b. 0.05 < P-value < 0.10

c. 0.01 < P-value < 0.05

d. P-value < 0.01