QA 233 (Basic Business Statistics)
Practice Problems IX - Chapters 7 - 9
| Consumer |
Preference |
Consumer |
Preference |
Consumer |
Preference |
| 01 |
VINYL |
15 |
COMPACT
DISC |
29 |
VINYL |
| 02 |
COMPACT
DISC |
16 |
VINYL |
30 |
COMPACT
DISC |
| 03 |
COMPACT
DISC |
17 |
COMPACT
DISC |
31 |
COMPACT
DISC |
| 04 |
VINYL |
18 |
COMPACT
DISC |
32 |
VINYL |
| 05 |
COMPACT
DISC |
19 |
VINYL |
33 |
VINYL |
| 06 |
VINYL |
20 |
COMPACT
DISC |
34 |
COMPACT
DISC |
| 07 |
VINYL |
21 |
COMPACT
DISC |
35 |
VINYL |
| 08 |
VINYL |
22 |
COMPACT
DISC |
36 |
COMPACT
DISC |
| 09 |
COMPACT
DISC |
23 |
COMPACT
DISC |
37 |
COMPACT
DISC |
| 10 |
COMPACT
DISC |
24 |
VINYL |
38 |
VINYL |
| 11 |
VINYL |
25 |
VINYL |
39 |
COMPACT
DISC |
| 12 |
COMPACT
DISC |
26 |
COMPACT
DISC |
40 |
VINYL |
| 13 |
COMPACT
DISC |
27 |
VINYL |
41 |
COMPACT
DISC |
| 14 |
COMPACT
DISC |
28 |
VINYL |
42 |
VINYL |
Use the data that have been collected to perform the appropriate hypothesis test at the a=.05 level of significance.
The Quality Control Manager of a potato
chip manufacturer believes that at least one-fourth of all 16 oz. bags of
his brand are overfilled. He randomly selects thirty bags from recent
production runs and records their weight. The results are
|
Bag 1 |
16.0 oz. |
Bag 11 |
16.6 oz. |
Bag 21 |
15.6 oz. |
|
Bag 2 |
15.2 oz. |
Bag 12 |
15.9 oz. |
Bag 22 |
15.3 oz. |
|
Bag 3 |
15.9 oz. |
Bag 13 |
15.2 oz. |
Bag 23 |
15.7 oz. |
|
Bag 4 |
16.7 oz. |
Bag 14 |
15.3 oz. |
Bag 24 |
15.2 oz. |
|
Bag 5 |
15.0 oz. |
Bag 15 |
15.7 oz. |
Bag 25 |
15.3 oz. |
|
Bag 6 |
15.4 oz. |
Bag 16 |
16.3 oz. |
Bag 26 |
16.9 oz. |
|
Bag 7 |
15.3 oz. |
Bag 17 |
15.5 oz. |
Bag 27 |
15.4 oz. |
|
Bag 8 |
15.6 oz. |
Bag 18 |
15.7 oz. |
Bag 28 |
15.9 oz. |
|
Bag 9 |
15.7 oz. |
Bag 19 |
15.1 oz. |
Bag 29 |
15.6 oz. |
|
Bag 10 |
16.4 oz. |
Bag 20 |
15.0 oz. |
Bag 30 |
15.9 oz. |
Use these sample results to test the appropriate hypothesis at an a=.01 level of significance.
Wayne John has decided that, in order to
diversify his personal investment portfolio, he will invest in a
bioengeneering research firm. He decides to evaluate Jones’
Clones, Inc., a relatively small Vermont-based firm that does research
on the human genome project. He randomly selects seven months over the past
two year period and records the percentage stock price change achieved by Jones’
Clones, Inc., in those months:
|
Month & Year |
Percentage Change in Stock Price |
|
May 1999 |
1.73% |
|
January 2000 |
1.37% |
|
September 2000 |
1.14% |
|
April 1999 |
1.87% |
|
June 2000 |
1.30% |
|
September 1999 |
1.44% |
|
December 1998 |
2.14% |
Provide Mr. John with an appropriate estimate, at the 99% level of confidence, of the monthly change in stock price achieved by Jones’ Clones, Inc. over the past twenty-four months. Comment on the usefulness of your estimate.
An auditor believes that small business who pay their bills late still tend to pay their bills within ten days of their due date. She randomly selects a recently-paid overdue bill from each of fourteen randomly selected small business accounts, then records the number of days each of these bills was outstanding when it was paid. Her sample data are:
|
Account
Number |
Days Outstanding When Paid |
|
0356l |
22 |
|
04652 |
12 |
|
02142 |
19 |
|
17539 |
20 |
|
08218 |
23 |
|
29929 |
24 |
|
10894 |
14 |
|
00536 |
8 |
|
01742 |
16 |
|
120l0 |
26 |
|
09911 |
23 |
|
08442 |
12 |
|
173l9 |
17 |
|
102l5 |
33 |
The auditor has also indicated the she believes the number of days an overdue bill is outstanding when paid is normally distributed. Use the data that she has collected to test this claim at the a=.05 level of significance.
AT&T believes their market share among
single consumers has fallen below 50%. To test this theory they randomly
telephone thirty single people and ask them to which long-distance telephone
service they subscribe. The results are
|
Respondent |
Response |
Respondent |
Response |
|
01 |
AT&T |
16 |
AT&T |
|
02 |
MCI |
17 |
AT&T |
|
03 |
AT&T |
18 |
MCI |
|
04 |
AT&T |
19 |
Sprint |
|
05 |
AT&T |
20 |
AT&T |
|
06 |
Sprint |
21 |
Sprint |
|
07 |
AT&T |
22 |
AT&T |
|
08 |
MCI |
23 |
MCI |
|
09 |
AT&T |
24 |
MCI |
|
10 |
AT&T |
25 |
AT&T |
|
11 |
MCI |
26 |
AT&T |
|
12 |
Sprint |
27 |
MCI |
|
13 |
AT&T |
28 |
AT&T |
|
14 |
AT&T |
29 |
AT&T |
|
15 |
Sprint |
30 |
MCI |
Use these sample results to test the appropriate hypothesis at an a=.05 level of significance.