Question description

 

• 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
Â	23109
Â	18654
Â	22891
Â	19804
Â	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)

Â	Gross Earnings	Production Cost	Promotion Cost	Â
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