SPSS will produce an output displaying your data. Under chart type, select "histogram." Select "frequencies" under chart values. Click the "continue" button.Ĭlick the "charts" button. For the purpose of visually comparing the distribution of two data sets, it is better to use relative frequency rather than a frequency histogram since the same.
You may also like to view the standard deviation, variance and range of your data. Relative frequency histograms are constructed in much the same way as a frequency histogram except that the vertical axis represents the relative frequency instead of the frequency. Cumulative frequency distributions often include a mean, median and mode. Once you have selected all your variables, click the "statistics" button.Ĭheck all the appropriate boxes you would like to be included in your analysis. Since my 5 year old is big into his football (soccer) we’ll take goals scored as an exampleeven though in 5 year olds football matches you’re not supposed to count the goals scored Below is the end result. Make sure you have the "display frequency tables" box checked in the bottom left of the pop-up. A Histogram, also known as a frequency distribution, is a chart that illustrates the distribution of values that fall into groups.
Highlight all the variables you would like included in the cumulative frequency distribution and individually move them over to the "variables" column. From the drop-down menu, select "descriptive statistics" and then "frequencies." Make sure that you have named all your variables in the "variable view page."Ĭlick the "analyze" tab at the top of the screen. Enter your data into SPSS under the "data view" page.