# Before beginning a hypothesis test an analyst

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17)Before beginning a hypothesis test, an analyst specified a significance level of 0.10. Which of the following is true?There is a 90% chance that the alternative hypothesis is true.The alternative hypothesis is either true or not true. The significance level specifies how different the observed sample mean has to be from the mean expected under the null hypothesis before we reject the null hypothesis. It doesn’t give us the probability of the null hypothesis being true.There is a 90% chance that the confidence interval will include the true mean ofthe population.The confidence interval either contains the true mean or it does not. The significance level specifies how different the observed sample mean has to be from the mean expected under the null hypothesis before we reject the null hypothesis. It doesn’t give us a definitive answer about how likely we are to construct a confidence interval that contains the true mean.There is a 10% chance of rejecting the null hypothesis when it is actually true.correctCorrect. The significance level specifies how different the observed sample mean has to be from the mean expected under the null hypothesis before we reject the null hypothesis. A significance level of 0.10 means that the observed
sample mean is so different from the mean expected under the null hypothesis that it would only occur 10% of the time if the null hypothesis were true.There is a 90% chance of rejecting the null hypothesis when it is actually false.The significance level specifies how different the observed sample mean has to be from the mean expected under the null hypothesis before we reject the null hypothesis. A significance level of 0.10 means that the observed sample mean isso different from the mean expected sample that it would only occur 10% of the time if the null hypothesis were true. However, the significance level does not specify anything about what happens if the null hypothesis is false.
18)When performing a hypothesis test based on a 95% confidence level, what are the chances of making a type II error?
Module 4 Quiz
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