We would like to conduct a hypothesis test of ( mathrm{H}_{0}: mu=50 ) vs. ( mathrm{H}_{mathrm{a}}: mu eq 50 ) for the mean ( mu ) of some normally distributed variable ( X ). A random sample of 25 observations is taken from the population. A ( 90 % ) confidence interval for ( mu ) is calculated to be ( (44.46,49.58) ). A ( 96 % ) confidence interval for ( mu ) is calculated to be ( (43.82,50.22) ). The P-value of the appropriate test of significance must be: (A) less than 0.04 . (B) greater than 0.10 . (C) between 0.02 and 0.05 . (D) between 0.04 and 0.10 . (E) equal to 0.06 .
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This means that if we were to conduct a hypothesis test at the 0.10 significance level (which corresponds to the 90% confidence interval), we would reject the null hypothesis. However, if we were to conduct a hypothesis test at the 0.04 significance level (which Show more…
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'An appropriate 95% confidence interval for p has been calculated as (-0.73,1.92) based on n = 15 observations from a population with a Normal distribution: If we wish to use this confidence interval to test the hypothesis Ho: | = 0 against Ha: p #0, which of the following is a legitimate conclusion? Reject Ho at the a = 0.05 level of significance (b) Fail to reject Ho at the a 0.05 level of significance (c) Reject Ho at the a = 0.10 level of significance Fail to reject Ho at the & 0.10 level of significance (e) We cannot perform the required test since we do not know the value of the test statistic'
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We would like to conduct a hypothesis test of H0: μ = 50 vs. Ha: μ ̸= 50 for the mean μ of some normally distributed variable X. A random sample of 25 observations is taken from the population. A 90% confidence interval for μ is calculated to be (44.46, 49.58). A 96% confidence interval for μ is calculated to be (43.82,50.22). The P-value of the appropriate test of significance must be:
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