Exam DA0-001 topic 1 question 35 discussion

B. Chi-squared test requires two or more categorical variables. A chi-squared test is a statistical method used to determine if there is a significant relationship between two categorical variables. It is used to determine if the observed frequencies of a variable are different from what would be expected based on a theoretical probability distribution. For example, a chi-squared test could be used to determine if there is a significant difference in the number of people who smoke and the number of people who have lung cancer. To perform a chi-squared test, the data must be in the form of a contingency table, with each cell representing the count of observations for each combination of categories for the two variables being tested. The test statistic is calculated based on the observed and expected frequencies, and the results are compared to a critical value from a chi-squared distribution to determine if the relationship between the two variables is significant.

B. The chi-squared test is a statistical method that is used to compare two or more categorical variables. It is used to determine whether there is a significant difference between the observed frequencies of the variables and the expected frequencies. In order to use the chi-squared test, the data must be categorical (i.e., the variables must be divided into groups or categories). Simple linear regression, z-test, and two-sample t-test do not require two or more categorical variables. They are used to compare two or more numerical variables.