Yvon Hopps ran an experiment to determine the optimum power and time settings for microwave popcorn. His goal was to find a combination of power and time that would deliver high-quality popcorn with less than 9% of the kernels left un-popped, on average. After experimenting with several bags, he determined that power 9 at 4 minutes was the best combination. To be sure that the method was successful, he popped 8 more bags of popcorn (selected at random) at this setting. All were of high quality, with the following percentages of uncooked popcorn: 4.1, 10.6, 8.4, 8.6, 7.7, 5.9, 2.9, 2.4. Does the 95% confidence interval suggest that he met his goal of an average of no more than 9% uncooked kernels? Explain.
The 95% confidence interval for the true mean percentage of unpopped kernels is (__ %, __%).
using excel>addin>phstat>confidence interval
we have
Confidence Interval Estimate for the Mean | |
Data | |
Sample Standard Deviation | 2.974054472 |
Sample Mean | 6.325 |
Sample Size | 8 |
Confidence Level | 95% |
Intermediate Calculations | |
Standard Error of the Mean | 1.051487042 |
Degrees of Freedom | 7 |
t Value | 2.3646 |
Interval Half Width | 2.4864 |
Confidence Interval | |
Interval Lower Limit | 3.84 |
Interval Upper Limit | 8.81 |
The 95% confidence interval for the true mean percentage of unpopped kernels is 3.84% ,8.81% .
he 95% confidence interval suggest that he met his goal of an average of no more than 9% uncooked kernels becasue confidence interval contain numbr less than 9
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