Contents
How does simultaneous confidence differ from individual CI confidence?
A confidence interval is an interval which includes the true value of the population parameter for the experiment conducted multiple times. Simultaneous confidence intervals are intervals that are comprised of individual intervals for the separate components of the parameter.
What happens when confidence intervals overlap?
If those intervals overlap, they conclude that the difference between groups is not statistically significant. If there is no overlap, the difference is significant.
How do you interpret a two sample confidence interval?
Thus, the difference in sample means is 0.1, and the upper end of the confidence interval is 0.1 + 0.1085 = 0
How are confidence intervals related to simultaneous confidence?
The percentage of times that a group of confidence intervals will all include the true population parameters or true differences between factor levels if the study were repeated multiple times. The simultaneous confidence level is based on both the individual confidence level and the number of confidence intervals.
When to use confidence intervals in an ANOVA?
The confidence levels associated with the confidence intervals often used in multiple comparisons to identify significant differences between specific factor levels in an ANOVA. These confidence levels are analogous to the individual and family error rates but applied to confidence intervals. What is an individual confidence level?
What was the 95% confidence interval in 1996?
For the same estimate of the number of poor people in 1996, the 95% confidence interval is wider — “35,363,606 to 37,485,612.” The Census Bureau routinely employs 90% confidence intervals. Why have confidence intervals?
What does it mean to have a conservative confidence interval?
Conservative means that the chance that the procedure produces an interval that contains the population percentage is at least large as claimed. (Later in this chapter we will consider approximate confidence intervals.)