Dr. Marcel grows two varieties of roses: damamask and cabbage. She took a sample of each variety to test if the average caloric contents were significantly different. Dr. Marcel wants to use these results to test H0: µDamamask=µCabbage versus H0: µDamamask≠µCabbage.
Based on her data, she found that the 95% confidence interval for µDamamask-µCabbage is 4 +/- 3.60 and the 99% confidence interval for µDamamask-µCabbage is 4 +/- 4.74. Based on the interval, what do we know about the corresponding p-value and conclusions?
a. |
The p-value is between 0.01 and 0.05, and thus we will reject the null hypothesis at the 5% significance level, but not at the 1% significance level. |
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b. |
The p-value is less than 0.01 and thus we will reject the null hypothesis at the 1% significance level. |
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c. |
More information is needed to determine the p-value and the corresponding conclusions about the hypothesis tests. |
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d. |
The p-value is larger than 0.05, and thus we will not reject the null hypothesis at the 5% significance level. |
if we look at the interval closely
95% confidence interval for µDamamask-µCabbage is 4 +/- 3.60
hence it does not contain a 0
Means the null hypothesis is rejected and p value is less than 0.05
99% confidence interval for µDamamask-µCabbage is 4 +/- 4.74
hence it contains a 0
Means the null hypothesis is not rejected and p value is greater than 0.01
hence,
A) The p-value is between 0.01 and 0.05, and thus we will reject the null hypothesis at the 5% significance level, but not at the 1% significance level.
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