What are the 3 types of t tests?

There are three main types of t-test:

  • An Independent Samples t-test compares the means for two groups.
  • A Paired sample t-test compares means from the same group at different times (say, one year apart).
  • A One sample t-test tests the mean of a single group against a known mean.
  • Also know, why do we use t tests?

    A t-test is a type of inferential statistic used to determine if there is a significant difference between the means of two groups, which may be related in certain features. The t-test is one of many tests used for the purpose of hypothesis testing in statistics. Calculating a t-test requires three key data values.

    Subsequently, question is, what are the assumptions for a t test?

    The common assumptions made when doing a t-test include those regarding the scale of measurement, random sampling, normality of data distribution, adequacy of sample size and equality of variance in standard deviation.

    What does t test mean?

    A t-test is a type of inferential statistic used to determine if there is a significant difference between the means of two groups, which may be related in certain features. A t-test is used as a hypothesis testing tool, which allows testing of an assumption applicable to a population.

    What is the minimum sample size for t test?

    A small sample is generally regarded as one of size n<30. A t-test is necessary for small samples because their distributions are not normal. If the sample is large (n>=30) then statistical theory says that the sample mean is normally distributed and a z test for a single mean can be used.

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