Exhibit 10-19 Two major automobile manufacturers have produced compact cars with the same size engines. We are interested in determining whether or not there is a significant difference in the MPG (miles per gallon) of the two brands of automobiles. A random sample of eight cars from each manufacturer is selected, and eight drivers are selected to driv each automobile for a specified distance. The following data show the results of the test. Driver 2 3 5 6 7 8 Manufacturer A 32 27 26 26 25 29 31 25 Manufacturer B 28 22 27 24 24 25 28 27 Refer to Exhibit 10-19. What procedure in Excel would we use to conduct a hypothesis test? Anova: Single Factor t-Test: Paired Two Sample for Means z-Test: Two Sample for Means t-Test: Two Sample Assuming Unequal Variances
Exhibit 10-19 Two major automobile manufacturers have produced compact cars with the same size engines. We are interested in determining whether or not there is a significant difference in the MPG (miles per gallon) of the two brands of automobiles. A random sample of eight cars from each manufacturer is selected, and eight drivers are selected to driv each automobile for a specified distance. The following data show the results of the test. Driver 2 3 5 6 7 8 Manufacturer A 32 27 26 26 25 29 31 25 Manufacturer B 28 22 27 24 24 25 28 27 Refer to Exhibit 10-19. What procedure in Excel would we use to conduct a hypothesis test? Anova: Single Factor t-Test: Paired Two Sample for Means z-Test: Two Sample for Means t-Test: Two Sample Assuming Unequal Variances
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
Transcribed Image Text:**Exhibit 10-19**
Two major automobile manufacturers have produced compact cars with the same size engines. We are interested in determining whether or not there is a significant difference in the MPG (miles per gallon) of the two brands of automobiles. A random sample of eight cars from each manufacturer is selected, and eight drivers are selected to drive each automobile for a specified distance. The following data show the results of the test.
| Driver | Manufacturer A | Manufacturer B |
|--------|----------------|----------------|
| 1 | 32 | 28 |
| 2 | 27 | 22 |
| 3 | 26 | 27 |
| 4 | 26 | 24 |
| 5 | 25 | 24 |
| 6 | 29 | 25 |
| 7 | 31 | 28 |
| 8 | 25 | 27 |
Refer to Exhibit 10-19. What procedure in Excel would we use to conduct a hypothesis test?
- ☐ Anova: Single Factor
- ☐ t-Test: Paired Two Sample for Means
- ☐ z-Test: Two Sample for Means
- ☐ t-Test: Two Sample Assuming Unequal Variances
**Explanation of the Procedure:**
This scenario involves comparing the means of two independent samples (Manufacturer A and Manufacturer B) to see if there is a significant difference between them regarding fuel efficiency.
When choosing a statistical test:
- If the variances of the two samples are assumed unequal, a "t-Test: Two Sample Assuming Unequal Variances" is appropriate.
- If the samples are paired (e.g., the same vehicle tested under different conditions), a paired t-test would be appropriate, but this does not apply here since the samples are independent.
Thus, for this analysis, you would likely select the option to conduct a "t-Test: Two Sample Assuming Unequal Variances" to account for any potential differences in sample variance.
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