Chapter 5 - EST3

The objective of the chi-square test for independence is ...

• To test if at least one population tends to have greater values than at least another

• To test the association between 2 attributes

• To test if a population follows a normal distribution

40 individuals were classified according to their age and time (in hours) spent watching TV daily. The results were the following. The purpose is to test if age and time spent on TV are associated. Which test should they use?

• Chi-square test for independence

• Spearman test

• Friedman test

• Kruskall-Wallis test

One of the association measures of the chi-square test for independence is the Pearson contingency coefficient. We can say that the greater the value of this coefficient, the lower the association.

• True

• False

30 individuals were classified according to their marital status and the number of children they have. Which test should be used to check if marital status and number of children are associated?

• Chi-square test for independence

• Spearman test

• Kruskall-Wallis

• Friedman

Four students recorded the hours spent studying for a statistics exam and the statistics exam grade. We want to test whether students who study more tend to have greater grades. Which test should we use?

• Chi-square test for independence

• Spearman test

• Kruskall-Wallis test

• Friedman test

The Spearman correlation coefficient measures the linear association between two variables.

• True

• False

We can calculate the Spearman correlation coefficient for ordinal data.

• True

• False