University of Phoenix Material
Week 4 Practice Worksheet
Prepare a written response to the following questions.
Chapters 9 &11
1. Two boats, the Prada (Italy) and the Oracle (USA), are competing for
a spot in the upcoming America’s Cup race. They race over a part of the course
several times. The sample times in minutes for the Prada were: 12.9, 12.5,
11.0, 13.3, 11.2, 11.4, 11.6, 12.3, 14.2, and 11.3. The sample times in minutes for the Oracle
were: 14.1, 14.1, 14.2, 17.4, 15.8, 16.7, 16.1, 13.3, 13.4, 13.6, 10.8, and
19.0. For data analysis, the appropriate test is the t-Test: Two-Sample
Assuming Unequal Variances.
The next table shows
the results of this independent t-test. At the .05 significance level, can we
conclude that there is a difference in their mean times? Explain these results
to a person who knows about the ttest
for a single sample but is unfamiliar with the ttest for independent means.
|
Hypothesis Test: Independent Groups (t-test, |
|||||||
|
Prada |
Oracle |
||||||
|
12.170 |
14.875 |
mean |
|||||
|
1.056 |
2.208 |
std. dev. |
|||||
|
10 |
12 |
n |
|||||
|
16 |
df |
||||||
|
-2.7050 |
difference (Prada – Oracle) |
||||||
|
0.7196 |
standard error of difference |
||||||
|
0 |
hypothesized difference |
||||||
|
-3.76 |
t |
||||||
|
.0017 |
p-value |
||||||
|
-4.2304 |
confidence interval 95.% lower |
||||||
|
-1.1796 |
confidence interval 95.% upper |
||||||
|
1.5254 |
margin of error |
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2. The Willow Run Outlet Mall has two Haggar Outlet Stores, one located
on Peach Street and the other on Plum Street. The two stores are laid out
differently, but both store managers claim their layout maximizes the amounts
customers will purchase on impulse. A sample of ten customers at the Peach
Street store revealed they spent the following amounts more than planned:
$17.58, $19.73, $12.61, $17.79, $16.22, $15.82, $15.40, $15.86, $11.82, $15.85.
A sample of fourteen customers at the Plum Street store revealed they spent the
following amounts more than they planned when they entered the store: $18.19,
$20.22, $17.38, $17.96, $23.92, $15.87, $16.47, $15.96, $16.79, $16.74, $21.40,
$20.57, $19.79, $14.83. For Data Analysis, a t-Test: Two-Sample
Assuming Unequal Variances was used.
At the .01
significance level is there a difference in the mean amount purchased on an
impulse at the two stores?Explain
these results to a person who knows about the ttest for a single sample but is unfamiliar with the ttest for independent means.
|
Hypothesis Test: Independent Groups (t-test, |
||||||
|
Peach |
Plum Street |
|||||
|
15.8680 |
18.2921 |
mean |
||||
|
2.3306 |
2.5527 |
std. dev. |
||||
|
10 |
14 |
n |
||||
|
20 |
df |
|||||
|
-2.42414 |
difference (Peach Street – Plum Street) |
|||||
|
1.00431 |
standard error of difference |
|||||
|
0 |
hypothesized difference |
|||||
|
-2.41 |
t |
|||||
|
.0255 |
p-value |
|||||
|
-5.28173 |
confidence interval 99.% lower |
|||||
|
0.43345 |
confidence interval 99.% upper |
|||||
|
2.85759 |
margin |
|||||
3. Fry Brothers heating and Air Conditioning, Inc. employs Larry Clark
and George Murnen to make service calls to repair furnaces and air conditioning
units in homes. Tom Fry, the owner, would like to know whether there is a
difference in the mean number of service calls they make per day. Assume the
population standard deviation for Larry Clark is 1.05 calls per day and 1.23
calls per day for George Murnen. A random sample of 40 days last year showed
that Larry Clark made an average of 4.77 calls per day. For a sample of 50 days
George Murnen made an average of 5.02 calls per day. At the .05 significance
level, is there a difference in the mean number of calls per day between the
two employees? What is the p-value?
|
Hypothesis Test: Independent Groups (t-test, |
|||||||
|
Larry |
George |
||||||
|
4.77 |
5.02 |
mean |
|||||
|
1.05 |
1.23 |
std. dev. |
|||||
|
40 |
50 |
n |
|||||
|
88 |
df |
||||||
|
-0.25000 |
difference (Larry – George) |
||||||
|
1.33102 |
pooled variance |
||||||
|
1.15370 |
pooled std. dev. |
||||||
|
0.24474 |
standard error of difference |
||||||
|
0 |
hypothesized difference |
||||||
|
-1.02 |
t |
||||||
|
.3098 |
p-value |
||||||
|
-0.73636 |
confidence interval 95.% lower |
||||||
|
0.23636 |
confidence interval 95.% upper |
||||||
|
0.48636 |
margin of error |
Chapters 11 & 12
4. A consumer organization wants to know if there is a difference in
the price of a particular toy at three different types of stores. The price of
the toy was checked in a sample of five discount toy stores, five variety
stores, and five department stores. The results are shown below.
|
Discount toy |
Variety |
Department |
|
$12 |
15 |
19 |
|
13 |
17 |
17 |
|
14 |
14 |
16 |
|
12 |
18 |
20 |
|
15 |
17 |
19 |
An ANOVA was run and the results are shown
below. At the .05 significance level, is
there a difference in the mean prices between the three stores? What is the
p-value? Explain why an ANOVA was used
to analyze this problem.
|
One factor ANOVA |
||||||
|
Mean |
n |
Std. Dev |
|
|||
|
13.2 |
5 |
1.30 |
Discount Toys |
|||
|
16.2 |
5 |
1.64 |
Variety |
|||
|
18.2 |
5 |
1.64 |
Department |
|||
|
15.9 |
15 |
2.56 |
Total |
|||
|
ANOVA table |
||||||
|
Source |
SS |
df |
MS |
F |
|
|
|
Treatment |
63.33 |
2 |
31.667 |
13.38 |
.0009 |
|
|
Error |
28.40 |
12 |
2.367 |
|||
|
Total |
91.73 |
14 |
5. A physician who specializes in weight control has three different
diets she recommends. As an experiment, she randomly selected 15 patients and
then assigned 5 to each diet. After three weeks the following weight losses, in
pounds, were noted. At the .05 significance level, can she conclude that there
is a difference in the mean amount of weight loss among the three diets?
|
Plan A |
Plan B |
Plan C |
|
5 |
6 |
7 |
|
7 |
7 |
8 |
|
4 |
7 |
9 |
|
5 |
5 |
8 |
|
4 |
6 |
9 |
An ANOVA was run and the results are shown
below. At the .01 significance level, is
there a difference in the weight loss between the three plans? What is the
p-value? What can you do to determine
exactly where the difference is?
|
One factor ANOVA |
||||||
|
Mean |
n |
Std. Dev |
|
|||
|
5.0 |
5 |
1.22 |
Plan A |
|||
|
6.2 |
5 |
0.84 |
Plan B |
|||
|
8.2 |
5 |
0.84 |
Plan C |
|||
|
6.5 |
15 |
1.64 |
Total |
|||
|
ANOVA table |
||||||
|
Source |
SS |
df |
MS |
F |
|
|
|
Treatment |
26.13 |
2 |
13.067 |
13.52 |
.0008 |
|
|
Error |
11.60 |
12 |
0.967 |
|||
|
Total |
37.73 |
14 |

