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Consider testing H0: mu = 45 vs. H1: mu <> 45 at the alpha = 0.01...

Consider testing H0: mu = 45 vs. H1: mu <> 45 at the alpha = 0.01 level of significance ('<>' means 'not equal'). A sample of size n = 50 is taken and a 99% confidence interval for mu is calculated as (33.4, 44.7). Then the test conclusion is:

Reject H0

Do not reject H0

There is not enough information to determine the test conclusion

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Answer #1

Since claimed population mean does not contained in confidence interval, we have sufficient evidence to

reject the null hypothesis.

Reject H0

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