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 %