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1.1. The independent t-test using SPSS The general procedure Figure 1 shows the general process for performing a t-test: as with fitting any model, we start by looking for the sources of bias. Having satisfied ourselves that assumptions are met and outliers dealt with, we run the test.
Below you will see instructions on how to perform the t test in SPSS. If you follow the instructions you will see the two tabular outputs that are embedded in the explanations below.
1 sty 2017 · Eight research questions were answered with descriptive statistics, and eight corresponding null hypotheses were tested with Analysis of Variance (ANOVA) and One-sample t test at 0.05 alpha.
The one-sample t test requires the following statistical assumptions: 1. Random and Independent sampling. 2. Data are from normally distributed populations. Note: The one-sample t test is generally considered robust against violation of this assumption once N > 30.
2 sie 2014 · A One Sample t test compares a sample average to a population mean. An Independent Samples t test compares the averages of two groups whose members are independent – that is, no one can be in both groups – on some dependent variable of interest.
Independent sample T-test • Independent T-test compares means between two groups • It is often used to see whether there is group difference in continuous data between two groups (e.g., gender, treatment vs. control) • Example • Model assumptions (1) Independence, (2) Normality, (3) Equal variance 8 7 5 4 11 3 9 8 7 13 11 10 13 11 15 10 ...
In this practical we are going to investigate how to perform a paired t-test using SPSS. A paired t-test is used when we have two continuous variables measured for all observations in a dataset and we want to test if the means of these variables are different.
