7. Sampling Distributions & Confidence Intervals: Mean

For a 90% confidence interval for the population mean, what is the value of $z_{\frac{\alpha }{2}}$?

In the context of hypothesis testing, what is the impact of increasing the sample size on the $p$-value, assuming the effect size remains constant?

In which of the following situations is it appropriate to use the confidence interval formula for a proportion ($p$)?

Which of the following statements is correct concerning statistical sampling in tests of controls?

If the confidence level is increased from $90\%$ to $99\%$, what happens to the width of the confidence interval for a population mean (assuming all other factors remain constant)?

Identifying data that are out of the ordinary is part of which step of the data cleaning process?

Which of the following calculations is not derived from the $confidence interval$?

Which of the following is not a time-series model?

Which of the following is a point estimate?

Suppose a 95% confidence interval for the mean difference in blood pressure between a treatment group and a control group is $(-2,5)$. What does this confidence interval suggest about the effectiveness of the treatment?

Which of the following best describes a $95\%$ confidence interval for a population mean?

Which of the following is not necessary to determine how large a sample to select from a population when constructing a confidence interval?

In interval estimation, as the sample size $n$ becomes larger, the interval estimate:

In the context of constructing confidence intervals, how does decreasing the confidence level (for example, from $99\%$ to $95\%$) affect the sample size required to achieve a fixed margin of error?