In: Statistics and Probability
You are planning to conduct a study to determine whether the average age of the residents of Ashland, OR is at least 55.6 years. What is the most appropriate test for conducting the test?
One population mean test
Two population means test
One-way ANOVA
Two-way ANOVA with Replication
Chi-square Goodness of Fit Test
Chi-square Test for Independence
Regression and Correlation Analysis
A market research firm is testing consumer reaction to a new shampoo among age groups in four regions. There are five consumers in each test panel. Each consumer completes a 10-question product satisfaction instrument with a 5-point scale (five is the highest rating) and the average score is recorded. Generate the appropriate outputs and perform the appropriate statistical tests to answer the questions below.
17.Which of the 4 age groups shows the lowest average satisfaction rating for the shampoo?
a.Youth
b.College
c.Adult
d.Senior
e.None – all show the same average satisfaction level per ANOVA test
18.Which of the 4 age groups gives the highest average satisfaction rating for the shampoo?
a.Youth
b.College
c.Adult
d.Senior
e.None – all show the same average satisfaction level per ANOVA test
19.At significance level 0.05, is there a difference in the satisfaction rating of the shampoo by the consumers of the different regions?
a)Yes b) No
20.hich of the 4 regions shows the lowest average satisfaction rating for the shampoo?
a Northeast
b Southeast
c Midwest
d West
e None – all show the same average satisfaction level per ANOVA test
21.Which of the 4 regions shows the highest average satisfaction rating for the shampoo?
a Northeast
b Southeast
c Midwest
d West
e None – all show the same average satisfaction level per ANOVA test
Northeast |
Southeast |
Midwest |
West |
||||
Youth |
3.9 4.0 3.7 4.1 4.3 |
3.9 4.2 4.4 4.1 4.0 |
3.6 3.9 3.9 3.7 3.3 |
3.9 4.4 4.0 4.1 3.9 |
|||
College |
4.0 4.0 3.7 3.8 3.8 |
3.8 3.7 3.7 3.6 3.7 |
3.6 4.1 3.8 3.9 4.0 |
3.8 3.8 3.6 3.6 4.1 |
|||
Adult |
3.2 3.8 3.7 3.4 3.4 |
3.5 3.3 3.4 3.5 3.4 |
3.5 3.8 3.8 4.0 3.7 |
3.8 3.6 3.4 3.7 3.1 |
|||
Senior |
3.4 2.9 3.6 3.7 3.5 |
3.6 3.4 3.6 3.6 3.4 |
3.3 3.3 3.1 3.1 3.1 |
3.4 3.2 3.5 3.3 3.4 |
Result:
You are planning to conduct a study to determine whether the average age of the residents of Ashland, OR is at least 55.6 years. What is the most appropriate test for conducting the test?
Answer: One population mean test
Two population means test
One-way ANOVA
Two-way ANOVA with Replication
Chi-square Goodness of Fit Test
Chi-square Test for Independence
Regression and Correlation Analysis
A market research firm is testing consumer reaction to a new shampoo among age groups in four regions. There are five consumers in each test panel. Each consumer completes a 10-question product satisfaction instrument with a 5-point scale (five is the highest rating) and the average score is recorded. Generate the appropriate outputs and perform the appropriate statistical tests to answer the questions below.
17.Which of the 4 age groups shows the lowest average satisfaction rating for the shampoo?
a.Youth
b.College
c.Adult
Answer: d.Senior
e.None – all show the same average satisfaction level per ANOVA test
18.Which of the 4 age groups gives the highest average satisfaction rating for the shampoo?
Answer: a.Youth
b.College
c.Adult
d.Senior
e.None – all show the same average satisfaction level per ANOVA test
19.At significance level 0.05, is there a difference in the satisfaction rating of the shampoo by the consumers of the different regions?
a)Yes Answer: b) No
20.hich of the 4 regions shows the lowest average satisfaction rating for the shampoo?
a Northeast
b Southeast
c Midwest
d West
Answer: e None – all show the same average satisfaction level per ANOVA test
21.Which of the 4 regions shows the highest average satisfaction rating for the shampoo?
a Northeast
b Southeast
c Midwest
d West
Answer: e None – all show the same average satisfaction level per ANOVA test
Two factor ANOVA |
||||||
Factor 2 region |
||||||
Means: |
||||||
Northeast |
Southeast |
Midwest |
West |
|||
Youth |
4.00 |
4.12 |
3.68 |
4.06 |
3.97 |
|
Factor 1 age |
College |
3.86 |
3.70 |
3.88 |
3.78 |
3.81 |
Adult |
3.50 |
3.42 |
3.76 |
3.52 |
3.55 |
|
Senior |
3.42 |
3.52 |
3.18 |
3.36 |
3.37 |
|
3.70 |
3.69 |
3.63 |
3.68 |
3.67 |
||
5 |
replications per cell |
|||||
ANOVA table |
||||||
Source |
SS |
df |
MS |
F |
p-value |
|
Factor 1 age |
4.193 |
3 |
1.3975 |
36.96 |
0.0000 |
|
Factor 2 region |
0.062 |
3 |
0.0208 |
0.55 |
.6493 |
|
Interaction |
1.245 |
9 |
0.1383 |
3.66 |
.0010 |
|
Error |
2.420 |
64 |
0.0378 |
|||
Total |
7.920 |
79 |
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