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Test Value= the hypothesis value which inputted into the One-Sample T-Test.ī. The first table is the descriptive statistics output and the second one is the inferential statistics which we need in this test.Ī. Click Ok and run the one sample t test on your SPSS program.For missing values, SPSS provides a choice of how you treat (exclude cases analysis by analysis or exclude cases listwise)
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When activating options, you can set confidence intervals.Input the hypothesis value to test value column.Select the variable you want to test, move it to the test variable column.Select Analyze > Compare Means > One sample t-test.Determine the level of significance and rejection criteria Determine the null hypothesis and alternative hypothesesĢ. With a confidence level of 95 percent, test whether the sample we have has an average difference in height that is significant with a hypothesis or not.ġ. Based on literature and health journals, the average height of an average middle school student is 175cm. Suppose you will test the height of 20 high school students. Samples are taken randomly from the population.Each data in the sample is an independent value or does not affect each other.Interval or ratio scale data (nominal and ordinal not allowed).Requirements for using one sample t-test: Typically, t-tests are used for small samples with sizes less than 30 or when parameters such as the population standard deviation are unknown. Test the difference between the zero value and the average changeīecause the name is one sample test, this test is a univariate analysis.Test the difference in sample means with the median of the sample.Test the difference in sample means with the known population hypothesis average.In general, we will test sample averages (statistics) with population averages (parameters). In a one-sample t-test, the variables we tested will be compared with the known average values based on the hypothesis. One sample t-test is a statistical test to examine whether the mean of data is statistically different from the mean value that is already known or based on the hypothesis of a mean population-based on pre-existing information.