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. The test assumes that both the variables are normally distributed. To run a single Chapter 8.3 - Hypothesis Tests About a Mean: ˙Not Known (t-test) 2 SPSS does this really well but you do need the raw data. If you are working with summary statistics use one of the online calculators found here. Chapter 8.4 - Hypothesis Tests About a Mean: ˙Known SPSS doesn't do this the same way it is done in the book. From the SPSS menu, choose Analyze - Compare Means - Independent samples t-test. STEP 2. A new window with variables in the left box will open. STEP 3. Using an arrow or double click on the variable, transfer variable wage to the Test Variable (s) box. In the same way transfer variable gender to the Grouping Variable box. •Run frequency for each variable •Check outputs to see if you have variables with wrong values. •Check missing values and physical surveys •Analyze -> compare means -> paired sample t-test SPSS Output file (.spv) PAIRED SAMPLE T-TEST 17 •Analyze -> compare means -> paired sample t-test SPSS Output If the value is .05 or smaller 2021 NEW SERIES for SPSS 27: youtu.be/PN-H8GikRQ0Another way of measuring the difference between two samples is to compare two unrelated groups or pa SPSS - Manually (entering the data by hand) - Loading in a file (data is saved in some form and can be opened in SPSS) Let's try manual first You can look at the data in two ways - Variable View - Data View SPSS gives a lot of information, most which you don't need - Ignore what you don't need 1. Start SPSS from wherever you have it Now, let's perform the independent t-test in SPSS. First, go to Analyze > Compare Means > Independent-Samples T-Test. 2. A new window will appear. Here you need to tell SPSS which data you want to include in the independent t-test. Add the test variable ( Height in this case) into the Test Variable (s): window. Fortunately, when using SPSS to run an independent t-test on your data, you can easily detect possible outliers. In our enhanced independent t-test guide, we: (a) show you how to detect outliers using SPSS; and (b) discuss some of the options you have in order to deal with outliers. Chapter 9.1 - Hypothesis Tests for Mean Di erences: Paired Data Create/Open the data. In the Statistics Viewer choose Analyze !Compare Means ! Paired-Samples T Test ::: This opens another dialogue box. Transfer one variable to Variable 1 and the other to Variable 2. The test statistic is based on (Variable 1) - (Variable 2). Test muticollinearity as a basis the VIF value of multicollinearity test results using SPSS. If the VIF value lies between 1-10, then there is no multicollinearity. If the VIF <1 or> 10, then there is multicollinearity. A company manager wants to know whether the regression models multicollinearity symptoms or not. Step-by-Step Guides. Each of our guides shows you how to carry out a different statistical test using SPSS Statistics. We start by explaining what the test is, when you should use it, and what you will be able to conclude from it. We then guide you through the SPSS Statistics procedure with comprehensive, step-by-step instructions with large This guide will explain, step by step, how to run the reliability Analy