Sample pspp syntax software#
Sample pspp syntax license#

This work is licensed under a Creative Commons Attribution 4.0 International License that allows sharing, adapting, and remixing. Index | Next - Independent-samples t-test

For this example, the proper APA style would be t(9) =. The symbols for t and p should be in italic font. The APA style for reporting t-test statistics is t(degrees of freedom) = t score, p = probability value. Our local school kids are similar to national averages on this standardized test. In other words, our sample and the population mean are essentially the same. This difference is not statistically significant. (2-tailed) field, where 'Sig.' is short for statistical significance. The t-test results for the t score, degrees of freedom, and the p value are marked in green. The pspp-convert utility can now decrypt encrypted syntax files. The mean values in this example are quite similar. A bug where the DataSelect CasesRandom Sample menu would generate. The one-sample t-test will compare these two means to see if these are similar or different. This tutorial, written primarily for beginning students, describes the GUI version. There are two versions: the syntax version and the less comprehensive but more user-friendly GUI (Graphic User Interface) version.

Sample pspp syntax software#

The means for the sample and the population are marked with blue. PSPP is a statistical analysis program made available at no charge to users by the Free Software Foundation. The output is a table with descriptive statistics and the t-test results. If no mean is given, PSPP will assume that the population mean is zero. Enter 100 in the Test Value field to represent the population mean. This is the mean that our sample will be compared to. The second step is that we must tell PSPP the population mean value.

Move this variable right to the Test Variable(s) field. The 'Math Scores' label represents the OneSample variable. The first step is to choose the desired data variable from the list on the left by moving it to the Test Variable(s) field. The one-sample t-test dialog box looks like this: The alternative hypothesis is that they are different from the national average, being either higher or lower.īegin this analysis by going to the Analyze menu, then the Compare Means folder. The null hypothesis is that our local students are equal or similar to the national average. These can be compared to a national average, which we will say is 100. Let's pretend that the data in the OneSample column of the ttestExample.sav file are the standardized math test scores from 10 ninth grade students at the local high school. This would address the question of whether local students are the same (null hypothesis) or different (alternative hypothesis, nondirectional) than the population. For example, the local school system might want to compare standardized test scores from local students to a state or national average. One-sample t-tests are used for comparing data from a sample to population data. PSPP for Beginners PSPP for Beginners One-sample t-tests