In: Statistics and Probability
A market research firm used a sample of individuals (32 persons) to rate the purchase potential of a particular product before and after the individuals saw a new television commercial about the product.
Use α=0.05 and the following data to test the hypothesis and comment on the value of the commercial. Please refer to table below and make the following decisions:
Before |
After |
|
Mean |
16,121875 |
15,40813 |
Variance |
60,7546996 |
51,37904 |
Observation |
32 |
32 |
Person Correlation |
0,93584894 |
|
Hypothesized Mean Difference |
0 |
|
df |
31 |
|
t Stat |
1,46836098 |
|
P(T<=t) one-tail |
0,07604045 |
|
t Critical one-tail |
1,69551878 |
|
P(T<=t) two-tail |
0,15208089 |
|
t Critical two-tail |
2,03951345 |
(1)
Question:
Set up the null and alternative hypothesis for testing whether there is a difference between situation before and after. Is this independent sample or paired sample? Why?
H0: Null Hypothesis: = 0 (There is no difference between situation before and after the individuals saw a new television commercial about the product)
HA: Alternative Hypothesis: 0 (There is a difference between situation before and after the individuals saw a new television commercial about the product) (Claim)
This is paired sample because the 2 samples are not independent.The sample is measured twice: before and after the individuals saw a new television commercial about the product.
(2)
Question:
Provide the standard deviation for Sample 1 (Before)
the standard deviation for Sample 1 (Before) =
(3)
Question:
Given the hypothesis in (a) would you reject Ho? (Note the significance level of 5%). Please provide short explanation why you reject or do not reject Ho. What is the p-value and what is your conclusion?
t Stat = 1,46836098
ndf = 32 - 1 = 31
Two Tail Test
By Technology, P - Value = 0.15207
Since P - Value = 0.15207 is greater than = 0.05, the difference is not significant. Fail to reject null hypothesis.
Conclusion:
The data do not support the claim that there is a difference
between situation before and after the individuals saw a new
television commercial about the product.
(4)
Question:
At α=2% level of significance, what is your conclusion? Why?
Since P - Value = 0.15207 is greater than = 0.02, the difference is not significant. Fail to reject null hypothesis.
Conclusion:
The data do not support the claim that there is a difference
between situation before and after the individuals saw a new
television commercial about the product.
(5)
Question:
What could be the highest confidence of conclusion that purchase potential of a particular product is significantly different before and after the individuals saw a new television commercial about the product?
the highest confidence of conclusion = (1 - 0.15207) X 100 = 84.793 %