A side-by-side boxplot for the illustrative data, shown at the bottom of the page, shows distributions with similar shapes, locations and spreads.
#Side by side boxplot minitab express psu how to
(Detailed instruction on how to draw and interpret boxplots was presented in Chapter 4). A side-by-side boxplot is one of the best way to compare group locations, spreads, and shapes. For the illustrative data: = 6.546, s 1 = 8.673, n 1 = 63.78, s = 7.789, n = 18 = 60.86, s 3 = 8.004, n 3 = 3 e note that group means and standard deviations are all within a couple of years of each other. For the illustrative AGE data, = Group means, standard deviations, and sample sizes are denoted with subscripts. Let (no subscript) represent the mean of all N subjects, combined. Let N denote the total sample size (e.g., N = 63). 1 (C:\data\StatPrimer\anova-a.wpd /18/07)Ģ EDA Summary statistics. The first five and last five observations are: OBS AGE CENTER etc. Data are stored in anova.sav are stored as variables AGE and CENTER. e consider AGE of study participants from three different clinical centers. The technique is called analysis of variance, or ANOVA for short. In this chapter we extend the procedure to consider means from k independent groups, where k is or greater. 1 1: Analysis of Variance Introduction EDA Hypothesis Test Introduction In Chapter 8 and again in Chapter 11 we compared means from two independent groups.
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