Keyword Analysis & Research: t test strengths and weaknesses

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Frequently Asked Questions

What is a t-test?

What is a t-test? The t-test, also known as t-statistic or sometimes t-distribution, is a popular statistical tool used to test differences between the means (averages) of two groups, or the difference between one group’s mean and a standard value.

What are the pros and cons of using t-test to compare samples?

Let’s take a look at the pros and cons of using a T-test to compare samples. 1. Essential for generalization: The results achieved after the t-test are useful for concluding if they are actually correct, they can be applied to the entire population. 2. Easy to interpret: It is very easy to interpret the output of independent samples.

What are the limitations of t-test?

Environment changes may affect the output of the t-test. 5. Multiple comparisons: T-test cannot be used for multiple comparisons because it results in type I errors. When conducting a paired t-test among a group of samples, it will be difficult to reject the null hypothesis. 6.

What is the difference between independent two sample t test and t-test?

Independent Two Sample t-test: Used to compare two population means. Paired Samples t-test: Used to compare two population means when each observation in one sample can be paired with an observation in the other sample.

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