9. Hypothesis Testing for One Sample

Which of the following is not true about $p$-values in hypothesis testing?

Suppose you conduct a two-tailed hypothesis test at the $5\%$ significance level and obtain a test statistic of $1.41$. What is the correct conclusion?

Which of the following is an accurate definition of a Type ${\mathrm{II}}_{}$ error in hypothesis testing?

Which of the following statements is true about using a hypothesis in your data presentation?

Which of the following best defines a Type $I^{}$ error in hypothesis testing?

In the context of hypothesis testing, which of the following is a reason that data may be considered unreliable?

In hypothesis testing for a population mean, which symbol typically represents the test statistic used to evaluate the null hypothesis?

Which of the following is an assumption required to use the two-sample test of means ($t$-test for independent samples)?

When conducting a significance test in practice, how should you choose the $\alpha$ level?

Which of the following is the formula for the test statistic used in a test of paired samples?

Which one of the following statements is true about a $2-\mathrm{sample} t-\mathrm{test}$?

Which of the following does not need to be known in order to compute the $p$-value in a hypothesis test?

Which of the following is a correct interpretation of a $p$-value that is not very small in the context of hypothesis testing?

A null hypothesis can only be rejected at the $5\%$ significance level if and only if which of the following is true?

In the context of hypothesis testing, what does the $\mathrm{level of significance}$ represent?