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Use Interval Plot to assess and compare confidence intervals of the means of groups. An interval plot shows a 95% confidence interval for the mean of each group. An interval plot works best when the sample size is at least 10 for each group.
- Interval bars
Interval bars show the central tendency and variability of...
- Interval bars
Interval bars show the central tendency and variability of sample distributions. By default, interval plots display 95% confidence intervals for the mean.
Use a two-sided confidence interval to estimate both likely upper and lower values for the mean response. Use a two-sided prediction interval to estimate both likely upper and lower values for a single future observation.
Here you will learn how to use Minitab to construct a confidence interval for a mean. The procedure is similar to the one that you learned earlier in this lesson for constructing a confidence interval for a proportion.
Minitab can provide confidence intervals for means, for example, via the Graphs > Interval Plot menu. Confidence intervals for pairwise comparisons of means from a General Linear Model can be obtained via Stat > ANOVA > General Linear Model > Comparisons. This requires you to first fit a model.
A tutorial on how to do Confidence Interval Plots (compare Means) and Graphical Summary in Minitab
We worked through this example in last week’s tutorial, and we found that the 95% confidence interval for μ was (0.497mm, 0.583mm). We will now see how Minitab can be used to compute such intervals. (a) Notice that this is “case 1”, as the population standard deviation σ is known.