The mean of a normally distributed population is 15. A random sample of 15 measurements from the said population were selected producing x-17.25 and s 13.15. Test the null hypothesis against the alternative hypothesis u> 15 using a- 0.05. Steps Solution 1. Population parameter of interest 2. Formulate the null and alternative hypotheses. 3. Identify the appropriate test statistic. 4. Set the level of significance. Determine if the test is one or two tailed. Determine the critical value. 5. Decision rule for rejecting or not rejecting the null hypothesis

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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D. Consider the problem below. Then following the steps indicated in the left
column of the table that follows, complete the table to determine the
appropriate test statistic to be used and the decision rule for rejecting or not
rejecting the null hypothesis.
The mean of a normally distributed population is 15. A random sample of 15
measurements from the said population were selected producing x 17.25
and s 13.15. Test the null hypothesis against the alternative hypothesis u>
15 using a 0.05.
Steps
Solution
1. Population parameter of interest
2. Formulate the null and
alternative hypotheses.
3. Identify the appropriate test
statistic.
4. Set the level of significance.
Determine if the test is one or
two
tailed.
Determine the critical value.
5. Decision rule for rejecting or not
rejecting the null hypothesis
Transcribed Image Text:D. Consider the problem below. Then following the steps indicated in the left column of the table that follows, complete the table to determine the appropriate test statistic to be used and the decision rule for rejecting or not rejecting the null hypothesis. The mean of a normally distributed population is 15. A random sample of 15 measurements from the said population were selected producing x 17.25 and s 13.15. Test the null hypothesis against the alternative hypothesis u> 15 using a 0.05. Steps Solution 1. Population parameter of interest 2. Formulate the null and alternative hypotheses. 3. Identify the appropriate test statistic. 4. Set the level of significance. Determine if the test is one or two tailed. Determine the critical value. 5. Decision rule for rejecting or not rejecting the null hypothesis
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