How big are the confidence intervals in Tukey?

How big are the confidence intervals in Tukey?

These wider Tukey confidence intervals provide less precise estimates of the population parameter but limit the probability that one or more of the confidence intervals does not contain the true difference to a maximum of 5%.

How many confidence intervals have 95% coverage probability?

A single confidence interval with a 95% coverage probability level will contain the true value of the parameter in 95% of samples. However, if one considers 100 confidence intervals simultaneously, each with 95% coverage probability, the expected number of non-covering intervals is 5.

What’s the difference between confidence limits for simultaneous comparisons?

The only difference between the confidence limits for simultaneous comparisons and those for a single comparison is the multiple of the estimated standard deviation. Also note that the sample sizes must be equal when using the studentized range approach. Example

Which is the best method to adjust for multiple comparisons?

We compare the following commonly used adjustment methods in this paper: Šidák, Bonferroni, Holm, Hochberg and Hommel. In addition, we consider the Dubey/Armitage-Parmar (D/AP) adjustment and Stepdown minP resampling procedure which take account of the pairwise correlation between the outcomes.

Is there such a thing as an exact confidence interval?

In view of this, it is often preferable to take a conservative approach and specify simultaneous confidence intervals that have at least 0.95 coverage. Indeed, the concept of exact confidence interval no longer exists in simultaneous interval estimation. Tukey’s, Scheffe’s and even Bonferroni’s procedures are all conservative in nature.

What is the reference line at 0 in Tukey?

Comparison of 95% confidence intervals to the wider 99.35% confidence intervals used by Tukey’s in the previous example. The reference line at 0 shows how the wider Tukey confidence intervals can change your conclusions. Confidence intervals that contain zero indicate no difference.

What is Tukey’s method for multiple comparisons?

Tukey’s method is used in ANOVA to create confidence intervals for all pairwise differences between factor level means while controlling the family error rate to a level you specify. It is important to consider the family error rate when making multiple comparisons because your chances…