(Solution Library) A marketing research firm wishes to compare the prices charged by two supermarket chains. The research firm using a standard shopping
Question: A marketing research firm wishes to compare the prices charged by two supermarket chains. The research firm using a standard shopping list of ten identical purchases at ten of each of the chains stores. The stores for each chain are randomly selected and the data is below:
| Chain #A | Chain #B |
| 119.25 | 111.99 |
| 123.71 | 116.62 |
| 121.32 | 114.88 |
| 121.72 | 115.38 |
| 122.34 | 115.11 |
| 122.42 | 114.4 |
| 120.14 | 117.02 |
| 123.63 | 113.91 |
| 122.19 | 116.89 |
| 122.43 | 111.87 |
- Consider these samples as random samples and two tailed test to test the difference of two means. Determine your null and alternative hypothesis. Use a pooled standard deviation. (Hint: Minitab can do all the tedious calculations for you. Input your two columns of data into the Minitab worksheet; Go to Stats, then basic stats; under basic stats click on two sample t and continue.)
- Test using alphas of .10, .05,.01 and .001.
- Compute a 95% confidence interval for the difference of two means. Again, you can get the interval from your output.
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