Testing The Mean For Business Data: Should One Use The Z-Test, T-Test, F-Test, The Chi-Square Test, Or The P-Value Method?
Jiajuan Liang, William Pan
Abstract
Open-access reader
Jiajuan Liang, William Pan
Abstract
Open-access reader
In testing the mean of a population or comparing the means from two populations. There are several statistics available: the t-test, z-test, F-test and the chi-square test. Both the t-test and the z-test are usually used for continuous populations, and the chi-square test is used for categorical data. The F-test is used for comparing more than two means. In this paper we will discuss: 1) the conditions on using these tests; 2) the relationship among these test; and 3) illustration of the p-values of these tests by graphs. Some concluding remarks will be provided.
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In testing the mean of a population or comparing the means from two populations. There are several statistics available: the t-test, z-test, F-test and the chi-square test. Both the t-test and the z-test are usually used for continuous populations, and the chi-square test is used for categorical data. The F-test is used for comparing more than two means. In this paper we will discuss: 1) the conditions on using these tests; 2) the relationship among these test; and 3) illustration of the p-values of these tests by graphs. Some concluding remarks will be provided.
Key concepts: Test (biology), Chi-square test, Statistics, Categorical variable, Mathematics, F-test, Pearson's chi-squared test, Z-test