In: Statistics and Probability
| A market research firm used a sample of individuals to rate the purchase potential of a particular product before | ||||
| and after the individuals saw a new television commercial about the product. The purchase potential ratings were | ||||
| based on a 0 to 10 scale, with higher values indicating a higher purchase potential. Test whether the commercial | ||||
| improved the mean purchase potential rating. at the .10 level of significance. | ||||
| Individual | After | Before | ||
| Carl Hall | 6 | 5 | ||
| Malcom Armstead | 6 | 4 | ||
| Ron Baker | 8 | 7 | ||
| Landry Shamet | 4 | 3 | ||
| Evan Wessel | 3 | 4 | ||
| Fred Van Vleet | 9 | 8 | ||
| Tekele Cotton | 7 | 6 | ||
| Cleanthony Early | 5 | 6 | ||
| State H0 and H1 | ||||
| Show the Excel Output | ||||


against 
Since, the observations are taken on same individuals, we use the t-test: Paired Two Sample for Means option from the Data Analysis menu of the data tab.

EXCEL OUTPUT:
| t-Test: Paired Two Sample for Means | ||
| After | Before | |
| Mean | 6 | 5.375 | 
| Variance | 4 | 2.839 | 
| Observations | 8 | 8 | 
| Pearson Correlation | 0.848 | |
| Hypothesized Mean Difference | 0 | |
| df | 7 | |
| t Stat | 1.667 | |
| P(T<=t) one-tail | 0.070 | |
| t Critical one-tail | 1.415 | |
| P(T<=t) two-tail | 0.140 | |
| t Critical two-tail | 1.895 | |
Since, the alternative is one sided, we look at the p-value for the one-tail test. p-value=0.07( < 0.1 ), hence, we reject the Null at 10% level of significance and conclude that the commercial improved the mean purchase potential rating.
Also, tcal (=1.667) > ttab (=1.415) , this also indicates the rejection of the Null.