9. Hypothesis Testing for One Sample

Which of the following is not true when testing a claim about a standard deviation or variance (${}^2$)?

When testing the difference of means for paired data, what is the null hypothesis?

Which of the following statements about the statistical validity of association claims is true?

In the context of hypothesis testing, what are the two possible decisions you can make after analyzing the sample data?

Suppose you conduct a hypothesis test and obtain a test statistic of $2.23$. If you are using a significance level of $0.05$ and a two-tailed test, what is the most likely conclusion?

Which of the following is a required assumption for using the two-sample test of means?

Which of the following is the correct first step when conducting a paired differences test?

Which of the following is typically the first step in hypothesis testing?

In the context of hypothesis testing, when is there a risk of committing a ${\mathrm{Type}}^{\mathrm{I}}$ error?

Which of the following is not one of the steps in conducting a one-sample $t$-test?

In the context of hypothesis testing, what are the two possible decisions you can make after analyzing the sample data?

Which of the following scenarios would result in a null hypothesis $\mu =7$ and an alternative hypothesis $\mu >7$?

Which of the following are assumptions required for conducting a significance test for a population proportion?

In the steps of hypothesis testing, if the results indicate that the $p$-value is less than the significance level $\alpha$, what is the appropriate conclusion?

Suppose you are using the first 100 rows of the Oakland data to test the hypotheses $H_0:p_1=p_2$ versus an alternative hypothesis about $p_1$. Which of the following is the correct first step in the hypothesis testing process?