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Answer :
To test the claim that the mean temperature in Sacramento is greater than the mean temperature in Orlando, we can perform a two-sample t-test for unequal variances. Here's a detailed step-by-step solution:
1. State the Hypotheses:
- Null Hypothesis ([tex]\(H_0\)[/tex]): The mean temperature in Sacramento ([tex]\(\mu_1\)[/tex]) is equal to the mean temperature in Orlando ([tex]\(\mu_2\)[/tex]), i.e., [tex]\(\mu_1 = \mu_2\)[/tex].
- Alternative Hypothesis ([tex]\(H_a\)[/tex]): The mean temperature in Sacramento is greater than the mean temperature in Orlando, i.e., [tex]\(\mu_1 > \mu_2\)[/tex].
2. Collect the Sample Data:
- Sacramento temperatures: 66.9, 60.3, 48.5, 51.1, 62.3, 55.6, 58.1, 65.1, 72.7, 60.9, 64.8, 44.1, 64.8, 75, 64.1, 49.3, 69.9
- Orlando temperatures: 37.4, 52.3, 46.6, 50.7, 52, 69, 32.5, 45.4, 45.9, 40.8, 51.2, 59.7, 33.9, 55.4, 53.7, 44, 40.5, 37.4
3. Calculate Sample Means and Standard Deviations:
- Mean of Sacramento temperatures: 60.7941
- Mean of Orlando temperatures: 47.1333
- Standard deviation of Sacramento temperatures: 8.725
- Standard deviation of Orlando temperatures: 9.4079
4. Conduct a Two-Sample t-test (with unequal variances):
Using a t-test for unequal variances (also known as Welch's t-test), we determine the test statistic and p-value:
- Test Statistic: 4.4568
- p-value: 0.0
5. Decision and Conclusion:
We compare the p-value to the significance level ([tex]\(\alpha = 0.10\)[/tex]). Since the p-value (0.0) is less than [tex]\(\alpha\)[/tex], we reject the null hypothesis.
Conclusion: There is significant evidence at the 0.10 significance level to support the claim that the mean temperature in Sacramento is greater than the mean temperature in Orlando.
1. State the Hypotheses:
- Null Hypothesis ([tex]\(H_0\)[/tex]): The mean temperature in Sacramento ([tex]\(\mu_1\)[/tex]) is equal to the mean temperature in Orlando ([tex]\(\mu_2\)[/tex]), i.e., [tex]\(\mu_1 = \mu_2\)[/tex].
- Alternative Hypothesis ([tex]\(H_a\)[/tex]): The mean temperature in Sacramento is greater than the mean temperature in Orlando, i.e., [tex]\(\mu_1 > \mu_2\)[/tex].
2. Collect the Sample Data:
- Sacramento temperatures: 66.9, 60.3, 48.5, 51.1, 62.3, 55.6, 58.1, 65.1, 72.7, 60.9, 64.8, 44.1, 64.8, 75, 64.1, 49.3, 69.9
- Orlando temperatures: 37.4, 52.3, 46.6, 50.7, 52, 69, 32.5, 45.4, 45.9, 40.8, 51.2, 59.7, 33.9, 55.4, 53.7, 44, 40.5, 37.4
3. Calculate Sample Means and Standard Deviations:
- Mean of Sacramento temperatures: 60.7941
- Mean of Orlando temperatures: 47.1333
- Standard deviation of Sacramento temperatures: 8.725
- Standard deviation of Orlando temperatures: 9.4079
4. Conduct a Two-Sample t-test (with unequal variances):
Using a t-test for unequal variances (also known as Welch's t-test), we determine the test statistic and p-value:
- Test Statistic: 4.4568
- p-value: 0.0
5. Decision and Conclusion:
We compare the p-value to the significance level ([tex]\(\alpha = 0.10\)[/tex]). Since the p-value (0.0) is less than [tex]\(\alpha\)[/tex], we reject the null hypothesis.
Conclusion: There is significant evidence at the 0.10 significance level to support the claim that the mean temperature in Sacramento is greater than the mean temperature in Orlando.
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