9. Hypothesis Testing for One Sample

In the context of hypothesis testing, what is the decision rule when using the p-value approach?

Suppose you conduct a two-tailed hypothesis test at the $5\%$ significance level and obtain a test statistic of $-2.12$. Which of the following best describes the result of the test?

Which of the following is NOT a condition or assumption required for the one-sample t inference for the mean $\mu$ of a population?

Which of the following is not a criterion for making a decision in a hypothesis test?

Suppose we run a statistical test. Which of the following is the correct first step in the process of hypothesis testing?

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

Suppose you conduct a two-tailed hypothesis test at the $5\%$ significance level and obtain a test statistic of $1.34$. What is the correct conclusion?

If the $H_0$ (null hypothesis) is rejected in hypothesis testing, which of the following is true?

Suppose you conduct a hypothesis test and your p-value is equal to $0.016$. What can you conclude if your significance level is $0.05$?

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?