Right click on each, one at a time, axis and select "Format Axis" on the pop up menu. Click on any one of them go select and then press "delete." The graph should not look like:įirst thing we have to do is put on axis lines. But the strength of Excel is how much you can modify a graph.įirst, select by clicking on Chart Title and then press "Delete." Do the same with the horizontal lines which are more distraction than worth. Excel does not understand the expectations of a good graph in psychology or eve APA format expectations. When you select this chart, you should see something like I show below. Of course, every other person calls this a bar graph. We will chose what Excel calls "Clustered Column" which should be the first choice. You should have something that looks like:Ĭhoose the Insert Ribbon and select Recommended Charts and it will have as a first option (In Macintosh, it might work easier to go to the Column Chart and select "Clustered Column" chart). We have to control click because the cells are not right next to each other. Then, Control-click (command-click for Macintosh) the two cells below mean. Then clcik on the two cells below "Group" to get the names of the two conditions. To make the chart creation easier in Excel, first click in any empty sell to clear your paste selection. You might need to increase the font size, just go to the home ribbon and change the number next to the font name ("Calibri") in the example below. ![]() Select "Copy" and go to Excel and paste the data in a convenient cell. You should see the following menu pop up: ![]() You should see somethink like below.Ĭhanging to Excel to be able to adjust the graph.Ĭurrently in Jamovi, you cannot adjust the plot, but you can copy the descriptives from jamovi.Right click on the describes table. ![]() There is a different plot which popped up whe you slected "Plots" under Additional Statistics": Boxplots are very useful for examining the distribution of your data, but if you are using a t-test to compare means, boxplots are somewhat misleading because they show the median instead of the mean, which is what the t-test uses.
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