![]() The distance between the top of the box and top of the whisker shows the range of the top 25% of scores (approximately), similarly the distance between the bottom of the box and the end of the bottom whisker shows the range of the lowest 25% of scores (approximately). The top and bottom of the tinted box represents the upper and lower quartile respectively. The workers had a higher median than the wishers, indicating greater success overall. Within the box, there is a thick horizontal line, which shows the median. It is clear that the middle 50% of scores are more spread out for the hard-work group than for those who wished on a star because the box is much longer. Using the Frequencies Dialog Window Open the Frequencies window (Analyze > Descriptive Statistics > Frequencies) and double-click on variable. Tutorials, Free Online Tutorials, Javatpoint provides tutorials and interview questions of all technology like java tutorial, android, java frameworks. Notice that there is a tinted box, which represents the IQR (i.e. The above figure shows the boxplots for the success data. To make a boxplot of the post-intervention success scores for our two groups, double click on the simple boxplot icon, then from the variable list select the Success_Post variable and drag it into y-axis and select the variable Strategy and drag it to x-axis. This will open up another window (the chart editor window) with many chart. In the data file of success scores we have information about whether people worked hard or wished upon a star. To open the chart editor simply double click on the graph that you wish to edit. This differs from the simple boxplot in that no categorical variable is selected for the x-axis. 1-D Boxplot – Use this option when you want to see a boxplot for a single variable.In this chapter, you discover how to create all the different graph types by following simple, step-by step procedures. Displaying scatterplots, histograms, pie charts, area graphs, and maps. ![]() ![]() Boxplots for this second variable are produced in different colors. Creating fancy (multivariable) charts from your data.
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