7. Sampling Distributions & Confidence Intervals: Mean

Which of the following is not true of the confidence level of a confidence interval?

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

In the context of interpreting a graph related to confidence intervals, why might the $\mathrm{percentages}$ shown not add up to $100\%$?

Which of the following correctly expresses a confidence interval for a population mean in the standard form?

By the empirical rule, how many students in a class of $200$ would score within the range $\mu \pm 2\sigma$?

In order to make statistical inferences when testing a population mean, which of the following conditions must typically be met?

Suppose a $95\%$ confidence interval for the average age of all celebrities is calculated from a sample. What does this confidence interval tell us about the population of all celebrities?

Which of the following is true about research based on a sample?

Which of the following statements about the $standarderror$ of the estimate is true?

What is the primary purpose of statistical inference in the context of $confidence intervals$?

In analysis of variance (ANOVA), what do the $\mathrm{MS}$ (mean square) values measure?

How does increasing the sample size $n$ affect the width of the confidence interval for the population mean $\mu$?

Which of the following is correct about the effect of sample size on the width of a confidence interval for the mean when the population standard deviation is known ($\sigma$)?

In the context of confidence intervals, each $t$ distribution is identified by its ______.

Which of the following is the correct formula for the $n$-period weighted moving average?