Last year’s tests of gums chewed showed that the consistency would last on average for 24 minutes with a standard deviation of 5.5 minutes. In a test of 36 randomly selected new gums, the gums lasted on average for 21.5 minutes. Use of 0.01 significance level to test the claim that the new average is different from the mean of 24 minutes.
Last year’s tests of gums chewed showed that the consistency would last on average for 24 minutes with a standard deviation of 5.5 minutes. In a test of 36 randomly selected new gums, the gums lasted on average for 21.5 minutes. Use of 0.01 significance level to test the claim that the new average is different from the mean of 24 minutes.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Last year’s tests of gums chewed showed that the consistency would last on average for 24
minutes with a standard deviation of 5.5 minutes. In a test of 36 randomly selected new gums,
the gums lasted on average for 21.5 minutes. Use of 0.01 significance level to test the claim
that the new average is different from the

Transcribed Image Text:**Summary of the 9 Steps for Hypothesis Testing**
1. **Null and alternative hypothesis.**
2. **Two-tailed test.**
3. **Select a significant level alpha.**
4. **Determine T-test or Z-test.**
5. **T-crit or Z-crit (Draw a graph)**
6. **Calculate T-obt or Z-obt.**
7. **Check whether the observed value (obt) falls in the critical region.**
8. **Reject or Fail to Reject Null Hypothesis.**
9. **Therefore, there is a statistically significant difference between the sample mean and the population mean OR there is no significant difference between the two means.**
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