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4 lis 2013 · The t-test is used to compare the means of two groups and has three main applications: 1) Compare a sample mean to a population mean. 2) Compare the means of two independent samples. 3) Compare the values of one sample at two different time points. There are two main types: the independent-measures t-test for samples not matched, and the ...
28 mar 2013 · The document discusses t-tests, which are used to compare means between groups. It describes the assumptions of t-tests, the different types of t-tests including independent samples t-tests and dependent samples t-tests, and the steps to conduct t-tests by hand and using SPSS.
17 lip 2014 · Independent sample t test. The document describes how to conduct an independent samples t-test. It explains that the t-test is used to compare differences between separate groups. An example is provided where participants are randomly assigned to either a pizza or beer diet for a week, and their weight gain is measured.
One-sample: Compares a sample mean to a reference value. Two-sample: Compares two sample means. Paired: Compares the means of matched pairs, such as before and after scores. In this post, you’ll learn about the different types of t tests, when you should use each one, and their assumptions.
17 lip 2014 · t-Test: Statistical Analysis. What is a t-Test? • Statistical test used in hypothesis testing • Example: Comparing Group A to Group B • Used to determine if the difference between 2 mean values is significantly different or just difference due to random chance • Example: Compare the mean between Per. 2 and Per. 3 scores on the Unit 3 exam
T Test for One Sample. Why use a t test? The sampling distribution of t represents the distribution that would be obtained if a value of t were calculated.
Hypothesis testing involves setting a null hypothesis, determining the appropriate test statistic, and using sample data to decide whether to reject the null hypothesis in favor of an alternative hypothesis.
