How to determine data distribution characteristics with spss

1. Step 1: Input the data into the data view of SPSS. This step is the same as the previous t-test. After entering the data, select Analysis → Comparison Average → One-way ANOVA.

2. Step 2: After clicking, the one-way ANOVA window as shown below will appear, displaying the list of values → factors, groups → dependent variables.

3. Step 3: Click Options to open the single factor variance analysis window of line and surface. After checking the variance homogeneity test in the window, click Continue and confirm, and you can see the variance homogeneity results in the results.

4. Step 4: Results, as shown in the following figure, we see the results of Levene test, the significance is 0.382, that is, P & gt0.05, the difference is not statistically significant, indicating that the variance is homogeneous.

Since 10 version, the graphic presentation function of data and results has been the focus of SPSS improvement. In the 16 version, SPSS has introduced a brand-new conventional chart function, and the report function has reached a relatively perfect level. 13 will further improve the chart function according to some problems in use and the needs of users.

1, statistical chart: After one year's use, the new conventional chart operation interface has been basically improved. This improvement not only makes the operation more convenient, but also highlights two key points.

First of all, more interactive graphics functions are introduced into conventional graphics, such as Paneled charts, classified graphics with error lines, such as error line charts and line charts, and simple segmented pie charts with three-dimensional effects. Secondly, several new graphs are introduced, including population pyramid and point density graph.

2. Statistical table: Almost all the output of the process will abandon the text and replace it with a more beautiful pivot table. Moreover, the performance and usability of the pivot table will be further improved, and some new functions will be added.

For example, statistics can be sorted, and the outputs of several subcategories can be merged/omitted in the table. Pivot table can be directly exported to PowerPoint, which is undoubtedly convenient for users to use.

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