2sample-t-test (unpaired)

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Author: samesanExecutions: 3636

This program calculates the t-value, degrees of freedom, and significance probability for an “independent two-sample t-test” for beginners in statistics.

This test examines the difference between the means of Groups A and B, for which no corresponding values exist. The null hypothesis is “Mean of Group A = Mean of Group B.”
Before performing the test, decide on the type of test, the alternative hypothesis, and the significance level.
Once you have decided, enter the means, standard deviations, and sample sizes for Group A and Group B, then click “Calculate.”

Types of t-tests

Student's tWelch's t

One-tailed test or two-tailed test

One-tailed testTwo-tailed test

Alternative Hypothesis
　

The mean of Group A ≠ the mean of Group B (← Use this for a two-tailed test)

Group A > Group B　Group A < Group B (← Select from the bottom when performing a one-tailed test)

Significance Level

10%5%1%

Mean of Group A

Mean of Group B

Sample standard deviation for Group A

Sample standard deviation for Group B

Sample size for Group A

Sample size for Group B

*If the test result displays as 99, it indicates an error because the null hypothesis does not correspond to the one-tailed or two-tailed test.

t(	）＝ , p =
(Rejectable boundary point t0 =	）