The null hypothesis of the independent samples t-test is verbalized by either accepting or rejecting it due to the value of the t-test. If the value is less than 0.05 it is accepted and greater than 0.05 is rejecting it.
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No, don't use a single t-test to compare the means of 3 or more groups. Use ANOVA.
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no t test is similar to z test because t test ie used for unknown observation and z is for the medicne
The Independent Samples T Test compares the mean scores of two groups on a given variable.
normal, SRS, independent normal, SRS, independent
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paired t-test is more powerful because it utilizes information
You use the t-test when the population standard deviation is not known and estimated by the sample standard deviation. (1) To test hypothesis about the population mean (2) To test whether the means of two independent samples are different. (3) To test whether the means of two dependent samples are different. (4) To construct a confidence interval for the population mean.
independent sample t test
When the sample size is greater than 30
When the sample size is greater than 30
Yes, it is. The one sample t-test is a study of the parameter population-mean. You can also use the t-test to test for the difference between two population means (both parameters).
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You can test data using T-Test in SPSS. Click Analyze > Compare Means > Independent-Samples T-Test to run an Independent Samples T-Test in SPSS. In the Independent-Samples T-Test window, you specify the variables to be analyzed. On the left side of the screen, you will see a list of all variables in your dataset.
In ANOVA, what does F=1 mean? What are the differences between a two sample t-test and ANOVA hypothesis testing? When would you use ANOVA at your place of employment, in your education, or in politics?