The correct answer is: D. Analysis of Variance (ANOVA)
Analysis of variance (ANOVA) is a statistical test that is used to compare the means of three or more groups. It is a parametric test, which means that it assumes that the data are normally distributed. ANOVA can be used to determine if there is a significant difference between the means of the groups, and to identify which groups are different from each other.
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. A t-test can be used to determine if there is a significant difference between the means of the two groups, and to identify which group is different from the other.
A chi-squared test is a statistical test that is used to compare the observed and expected frequencies in a contingency table. It is a nonparametric test, which means that it does not make any assumptions about the distribution of the data. A chi-squared test can be used to determine if there is a significant difference between the observed and expected frequencies, and to identify which cells in the table are different from each other.
Regression analysis is a statistical method that is used to determine the relationship between two or more variables. It is a parametric test, which means that it assumes that the data are normally distributed. Regression analysis can be used to predict the value of one variable based on the values of the other variables.
In conclusion, the correct answer to the question “Which statistical test is used to determine if there is a significant difference between the means of more than two groups?” is: D. Analysis of Variance (ANOVA)