The correct answer is: A. T’ test
A t-test is a statistical test that is used to compare the means of two groups. It is a parametric test, which means that it assumes that the data are normally distributed. The t-test can be used to compare the means of two groups that are independent of each other, or it can be used to compare the means of two groups that are related to each other.
A t-test is a powerful tool for comparing the means of two groups, and it is often used in research studies. However, it is important to note that the t-test is only appropriate for certain types of data. If the data are not normally distributed, then the t-test may not be accurate.
Here is a brief explanation of each option:
- A. T’ test is a statistical test that is used to compare the means of two groups. It is a parametric test, which means that it assumes that the data are normally distributed. The t-test can be used to compare the means of two groups that are independent of each other, or it can be used to compare the means of two groups that are related to each other.
- B. F’ test is a statistical test that is used to compare the variances of two groups. It is a parametric test, which means that it assumes that the data are normally distributed. The F-test can be used to compare the variances of two groups that are independent of each other, or it can be used to compare the variances of two groups that are related to each other.
- C. Chi-square’ test is a statistical test that is used to compare the frequencies of two or more groups. It is a nonparametric test, which means that it does not assume that the data are normally distributed. The chi-square test can be used to compare the frequencies of two or more groups that are independent of each other, or it can be used to compare the frequencies of two or more groups that are related to each other.
- D. None of these is not a valid option.