What happens to the width of the confidence interval when the sample variability increases?
- The interval becomes narrower
- The interval becomes skewed
- The interval becomes wider
- The interval does not change
The width of the confidence interval increases as the variability in the sample increases. Greater variability leads to a larger standard error, which in turn leads to wider confidence intervals.
Loading...
Related Quiz
- What is the concept of significance level in hypothesis testing?
- How does the presence of multicollinearity affect the standard errors of the regression coefficients?
- What does the Wilcoxon Signed Rank Test compare in paired samples?
- What is the goal of 'hierarchical' clustering?
- What does the shape of the probability density function of a normal distribution look like?