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T-test is commonly used to examine whether two groups are significantly different from each other or not.

A t-test is an inferential statistic used to determine if there is a significant difference between the means of two groups and how they are related. T-tests are used when the data sets follow a normal distribution and have unknown variances, like the data set recorded from flipping a coin 100 times.

It is a statistical test that is used to compare the means of two groups. It is often used in hypothesis testing to determine whether a process or treatment actually has an effect on the population of interest, or whether two groups are different from one another.

T-test is used to determine whether two groups are different or not.

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The T-test is commonly used to examine whether two groups are significantly different from each other or not.

  • The T-test is an inference statistic used to determine whether two groups' means are significantly different and how they are related.

  • The T-test is used when the data set is normally distributed and the variance is unknown, such as a  data set recorded by tossing a coin 100 times.

  • This is a statistical test used to compare the means of two groups. It is often used in hypothesis testing to determine whether a process or treatment actually affects a population of interest, or whether two groups differ from each other.

A T-test is used to determine if two groups are different.

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