how to do a one-tailed t-test in matlab

To perform a one-tailed t-test in Matlab, you can use the ttest function. You will need to specify which tail the alternative hypothesis is testing (i.e., left-tailed or right-tailed).

Here is an example of performing a one-tailed t-test in Matlab:

Suppose you have two data vectors, x and y, and you want to test the null hypothesis that the mean of x is less than the mean of y. The alternative hypothesis is that the mean of x is greater than the mean of y. You can perform this one-tailed t-test using the following code:

main.m
alpha = 0.05;  % significance level
[h,p,ci,stats] = ttest2(x,y,'tail','right','alpha',alpha);
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The 'tail' parameter specifies that you are testing the right-tailed alternative hypothesis. You can also use 'left' for a left-tailed test.

The output variables h, p, ci, and stats are the same as for the standard two-sample t-test. The variable h is 1 if the null hypothesis is rejected at the specified significance level, and 0 otherwise. The variable p is the p-value of the test. The variable ci is a confidence interval for the difference between the means of x and y, and the variable stats contains additional statistics such as the mean and standard deviation of each group.

Note that if you are performing a paired t-test or a one-sample t-test, the syntax is slightly different, but you can still specify the tail of the test using the 'tail' parameter.