Chapter 3 Descriptive Statistics Using SPSS to Calculate Measures of ...
Chapter 3 Descriptive Statistics
Using SPSS to Calculate Measures of Central Tendency
Frequency Distribution Let’s first make a frequency distribution for the 3986 height scores. On the main SPSS toolbar Click on AnalyzeDescriptive StatisticsFrequencies to obtain the Frequencies box Move Height into the Variables list, click on the “Charts” button to get the charts box. Select the bar chart and frequencies buttons and click on Continue and then on OK The following output should appear.
Output
Output (Cont.)
Output (Cont.)
Measures of Central Tendency Next let’s have SPSS determine the Mode, Median, and Mean of the height values. Bring up the Frequencies box again and this time click on the “Statistics” button to obtain the Frequencies Statistics box. Check the Mean, Median and Mode boxes, click on Continue and on OK. The following data appear.
Central Tendency Statistics
Interpretation Notice that the three statistics are nearly equal which agrees with our decision that the data are relatively normally distributed.
Using SPSS to Calculate Measures of Central Tendency
Frequency Distribution Let’s first make a frequency distribution for the 3986 height scores. On the main SPSS toolbar Click on AnalyzeDescriptive StatisticsFrequencies to obtain the Frequencies box Move Height into the Variables list, click on the “Charts” button to get the charts box. Select the bar chart and frequencies buttons and click on Continue and then on OK The following output should appear.
Output
Output (Cont.)
Output (Cont.)
Measures of Central Tendency Next let’s have SPSS determine the Mode, Median, and Mean of the height values. Bring up the Frequencies box again and this time click on the “Statistics” button to obtain the Frequencies Statistics box. Check the Mean, Median and Mode boxes, click on Continue and on OK. The following data appear.
Central Tendency Statistics
Interpretation Notice that the three statistics are nearly equal which agrees with our decision that the data are relatively normally distributed.
