BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -In statistical hypothesis testing, the Chi-Square Goodness-of-Fit test determines whether a variable is likely to come from a given distribution or not. We must have a set of data values and the idea of the distribution of this data. We can use this test when we have value counts for categorical variables.

Detailed explanation-2: -You use a Chi-square test for hypothesis tests about whether your data is as expected. The basic idea behind the test is to compare the observed values in your data to the expected values that you would see if the null hypothesis is true.

Detailed explanation-3: -Pearson’s chi-squared test is used to determine whether there is a statistically significant difference between the expected frequencies and the observed frequencies in one or more categories of a contingency table.

Detailed explanation-4: -A chi-square test is a statistical test used to compare observed results with expected results. The purpose of this test is to determine if a difference between observed data and expected data is due to chance, or if it is due to a relationship between the variables you are studying.

Detailed explanation-5: -Fisher’s Z-Test or Z-Test: Z-test is based on the normal probability distribution and is used for testing the significance of several measures.