1. Point estimates provide less confidence in indicating a parameter’s value than a confidence interval.
2. Confidence intervals provide an indication of how much variation exists in the data set.
3. The probability that the actual population mean will be outside of a 98% confidence interval is
4. The Chi-square test measures differences in frequency counts rather than differences in size (such as the t-test and ANOVA).