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Confidence Intervals | What is a confidence interval? | What does a 95% confidence level indicate about a confidence interval? | How do you construct a confidence interval for the mean? | How does sample size affect the width of a confidence interval? | How can you use confidence intervals to make decisions about hypothesis tests? |
Hypothesis Testing Basics | What is hypothesis testing? | What are the null and alternative hypotheses? | How do we decide to reject or fail to reject the null hypothesis? | What are Type I and Type II errors in hypothesis testing? | What is the significance level in hypothesis testing? |
Testing Proportions | What is the purpose of hypothesis testing for one proportion? | What is used to calculate the test statistic for a hypothesis test on a proportion? | What does the hypothesis test for one proportion compare? | What are the two common methods to make decisions in hypothesis tests for proportions? | What does a significant result in a hypothesis test for a proportion imply? |
Applications in Statistics | Why are confidence intervals important in statistics? | How do hypothesis tests apply to real-world decision making? | What role do confidence intervals play in inferential statistics? | How are confidence intervals and hypothesis tests used in research? | How can various statistical concepts be combined in real-life applications? |
Statistical Error and Interpretation | What is a statistical error? | What is the importance of confidence intervals in reporting statistics? | How do Type I and Type II errors relate to confidence intervals and hypothesis testing? | Why is it important to interpret statistical results carefully? | What does statistical literacy entail in the context of hypothesis testing? |