because it is and easy way to text to a friend instead of saying test
"Have you done a pregnancy test, and if yes, did you use a test that shows a C or T result?"
You use a z test when you are testing a hypothesis that is using proportions You use a t test when you are testing a hypothesis that is using means
Because under the null hypothesis of no difference, the appropriate test statistic can be shown to have a t-distribution with the relevant degrees of freedom. So you use the t-test to see how well the observed test statistic fits in with a t-distribution.
yes
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).
No, don't use a single t-test to compare the means of 3 or more groups. Use ANOVA.
A t-test is used when comparing means of two groups, while a chi-square test is used for comparing frequencies or proportions of categorical data. Use a t-test when comparing numerical data and a chi-square test when comparing categorical data.
The chi-square test should be used instead of the t-test when analyzing categorical data or comparing frequencies of different categories, while the t-test is used for comparing means of continuous data.
A chi-square test is used when analyzing categorical data, such as comparing proportions or frequencies between groups. On the other hand, a t-test is used when comparing means between two groups. So, use a chi-square test when dealing with categorical data and a t-test when comparing means.
When the sample size is greater than 30
When the sample size is greater than 30
thompson F***ed s**t up