9. Hypothesis Testing for One Sample

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?

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?