Will notice that the SPSS syntax for the Wilcoxon-Mann-Whitney test is almost identical T-test and can be used when you do not assume that the dependent variable is a normallyĭistributed interval variable (you only assume that the variable is at least ordinal). The Wilcoxon-Mann-Whitney test is a non-parametric analog to the independent samples In other words,įemales have a statistically significantly higher mean score on writing (54.99) than males Mean writing score for males and females (t = -3.734, p =. The results indicate that there is a statistically significant difference between the t-test groups = female(0 1)īecause the standard deviations for the two groups are similar (10.3 andĨ.1), we will use the “equal variances assumed” test. Using the hsb2 data file, say we wish to test whether the mean for write Two independent samples t-testĪn independent samples t-test is used when you want to compare the means of a normallyĭistributed interval dependent variable for two independent groups. These results show that racial composition in our sample does not differ significantlyįrom the hypothesized values that we supplied (chi-square with three degrees of freedom =ĥ.029, p =. Proportions from our sample differ significantly from these hypothesized proportions. Suppose that we believe that the general population consists of 10% Hispanic, 10% Asian,ġ0% African American and 70% White folks. Chi-square goodness of fitĪ chi-square goodness of fit test allows us to test whether the observed proportionsįor a categorical variable differ from hypothesized proportions. Significantly differ from the hypothesized value of 50%. In other words, the proportion of females in this sample does not
The results indicate that there is no statistically significant difference (p =
Whether the proportion of females ( female) differs significantly from 50%, i.e.,įrom. Two-level categorical dependent variable significantly differs from a hypothesized onesample test (write) wilcoxon(testvalue = 50).Ī one sample binomial test allows us to test whether the proportion of successes on a To assume that it is interval and normally distributed (we only need to assume that write We will use the same variable, write,Īs we did in the one sample t-test example above, but we do not need We wouldĬonclude that this group of students has a significantly higher mean on the writing testĪ one sample median test allows us to test whether a sample median differs Which is statistically significantly different from the test value of 50. The mean of the variable write for this particular sample of students is 52.775, Whether the average writing score ( write) differs significantly from 50. For example, using the hsb2 data file, say we wish to test One sample t-testĪ one sample t-test allows us to test whether a sample mean (of a normallyĭistributed interval variable) significantly differs from a hypothesized You can get the hsb data file by clicking on hsb2. ( write), mathematics ( math) and social studies ( socst). Number of scores on standardized tests, including tests of reading ( read), writing Socio-economic status ( ses) and ethnic background ( race). Students with demographic information about the students, such as their gender ( female), This data file contains 200 observations from a sample of high school Most of the examples in this page will use a data file called hsb2, high schoolĪnd beyond. Ordinal or interval and whether they are normally distributed), see What is the difference betweenĬategorical, ordinal and interval variables? for more information on this. In deciding which test is appropriate to use, it is important toĬonsider the type of variables that you have (i.e., whether your variables are categorical, You can see the page Choosing theĬorrect Statistical Test for a table that shows an overview of when each test isĪppropriate to use. Section gives a brief description of the aim of the statistical test, when it is used, anĮxample showing the SPSS commands and SPSS (often abbreviated) output with a brief interpretation of the
#Chisquare in spss how to#
This page shows how to perform a number of statistical tests using SPSS.
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