## What is the difference between a statistic and a parameter?

What is the difference between a statistic and a parameter? (5 points)

Describe Type I and Type II error (5 points)

The personnel director of a corporation will study the overtime work during the previous year for the 2,575 clerical workers. A sample of 100 of these workers will be

chosen at random from the files. The average and the standard deviation of the overtime hours will be calculated and the number of these employees who worked more than

75 hours of overtime will be recorded. For each of the following, state whether it is a statistic or a parameter. (6 pts)

a) The average number of overtime hours for the 2,575 employees.

b) The standard deviation of overtime hours for the 100 workers.

c) The standard error of the average.

d) The proportion of clerical workers in the company who worked more than 75 hours overtime last year.

John Rengel is the Quality Assurance Supervisor for Vino Supremo Vinyards. He knows that 10 percent of each box of corks is undersized. (6 pts)

a) If he were to randomly select 120 corks from the next box, then how many of these corks would John expect to be undersized?

b) If he were to randomly select 120 corks from each box, then what would John calculate as the standard error of the number of undersized corks?

c) What is the probability that John will find 15 or more corks defective in a randomly selected box?

Sixto Sanchez is the owner of Suburban Stylists. He is evaluating the service level provided to walk-in customers. Because he is enrolled in an MBA program at Eastern

University, Sixto decides to sample walk-in customers for the next two weeks. He collects information from 82 walk-in customers and calculates that their average

waiting times that is 21 minutes with a standard deviation of 4 minutes. (12 pts)

a) Determine the degrees of freedom to be used in further analysis.

b) Calculate the two sided 95% confidence interval for the population mean of waiting times.

c) Calculate the two sided 90% confidence interval for the population mean of waiting times.

d) Calculate the two sided 99% confidence interval for the population mean of waiting times.

e) What t table value should be used in calculating a two sided 95% confidence interval for the population mean of waiting times if the sample selected is 25

instead of 82?

Bay Area Community College (BACC) has collected data comparing the starting salaries of their graduating students with last names beginning with the letters A through

M with those whose last names begin with N through Z. The first category, A through M, provided 47 random responses . The second category, N through Z, had 52 random

responses . (12 pts)

Students_A_M Students_N_Z

32,890 21098

23000 19880

29015 25098

31898 18993

29466 20891

27890 25876

30654 23091

31973 24562

21456 18076

22,999 27889

32776 22101

30434 20993

34954 21788

36987 23569

20876 20965

27654 23458

29432 24567

31876 23863

30987 20962

29670 22553

22579 21098

35985 24898

32470 21964

28763 23009

29415 21890

35071 24874

25983 19823

21880 24538

35593 24729

22,569 23789

29841 25698

32650 20436

29427 24990

29996 21343

31874 23451

23195 21099

34990 25765

29845 22567

29996 27899

33889 21005

25182 22890

36201 24321

22994 21054

35789 22378

23198 27654

29468 25645

29379 19765

23109

18654

22891

19804

25993

a) If you assume that last names should not have an impact on starting salary of graduates of BACC, then what is the appropriate null hypothesis?

b) State the research hypothesis in words and in notation.

c) Calculate the appropriate test statistic.

d) Calculate the appropriate p-value for the test statistic.

e) Is the statistic statistically significant?

f) What type of error if any has been committed?

Plymouth Rock Securities is interested in finding out if there is a relationship between the number of new clients brought into the firm by a broker and the sales

performance of the broker. A random sample of 11 brokers’ records are reviewed to determine the number of new clients enrolled last year and total sales in millions of

dollars: (12pts)

Broker 1 2 3 4 5 6 7 8 9 10 11

Clients 27 11 42 33 15 15 25 36 28 30 17

Sales, $ 52 37 64 55 29 34 58 59 44 48 31

a) How closely related is the new client base to sales performance? Draw the scatterplot and compute the correlation and describe the relationship

b) Find the least-squares equation to predict sales from number of clients. Can the least squares equation be used to predict sales?

c) What does the slope represent?

d) What would a new broker who brings in 30 clients sell, on average?

e) How much of the variability in sales is not explained by the number of new clients?

Jean Siskel is an entertainment analyst for West Coast Securities. He is trying to develop a model to estimate gross earning generated by a new movie release. He has

collected the following data on 20 movies: Gross Earnings, Production Costs, Promotion Costs, and if the movie is based on a bestseller novel: (12 pts)

Gross Earnings Production Cost Promotion Cost

Movie Millions $ Millions $ Millions $ Novel

1 28 4.2 1 0

2 35 6 3 1

3 50 5.5 6 1

4 20 3.3 1 0

5 75 12.5 11 1

6 60 9.6 8 1

7 15 2.5 0.5 0

8 72 10 12 1

9 45 6.4 8 1

10 37 7.5 5 0

11 30 5.0 1 1

12 63 10.1 10 0

13 58 7.8 9 1

14 50 6.9 10 0

15 24 3.5 4 0

16 82 11.0 15 1

17 48 10.7 1 1

18 34 6.6 2 0

19 50 8.4 3 1

20 45 10.8 5 0

a. What type of variable is novel?

b. What is the estimated multiple linear regression equation derived from this data?

c. What are the regression coefficients for each X variable? Interpret the regression coefficient.

d. Will Jean be pleased with the results?

e. Interpret the intercept value.

The following data represent revenues in thousands of dollars for a manufacturer of small electric appliances. (15 pts)

Year Quarter Revenues

1996 1 514

1996 2 822

1996 3 648

1996 4 976

1997 1 616

1997 2 884

1997 3 678

1997 4 996

1998 1 658

1998 2 850

1998 3 714

1998 4 1052

a) Calculate the moving averages for this time series.

b) Find the seasonal index for each quarter.

c) From the fourth quarter of 1997 to the first quarter of 1998, revenues declined. What happened on a seasonally adjusted basis?

d) Compute the forecast for the second quarter of 2002.

extra credit (+2) Find the regression equation to predict the long term trend in the seasonally adjusted revenues.

Bay Area University enrolls MBA students in three cohort programs: Weeknight, Saturday, and Distance. Dean Ed Epstein wants to know if there is a difference in the

average of the students in the three programs. He has his assistant take a random sample of 5 students from each program and record their ages. (15 pts)

Weeknight Saturday Distance

29 32 25

27 33 24

30 31 24

27 34 25

28 30 26

a) State the Null hypothesis and the Research hypothesis to be tested

b) Calculate the F statistic.

c) Should the Null hypothesis be rejected at the 5% level of significance?

d) Draw box plots for the different programs.

e) Using the least-significant difference test, identify the significant differences between the programs.

EXTRA CREDIT: Please describe the different parts of a statistical report and what is included in each section. (5pts)