Question

question 6
advertising researchers claim that the power of curiosity can be harnessed to design an effective internet advertising strategy that results in a better evaluation of the advertised product. they develop six advertising texts with varying amounts of \curiosity\ triggers. college students are randomly assigned to one of the six versions of the advertisement text and their evaluation score of the advertised product is recorded.
which of the following is the most appropriate statistical test to use to test if the six versions of the advertisement text differ in their evaluation score?
a. inference for regression
b. two - sample t - test
c. matched pairs t - test
d. chi - squared test for independence
e. anova

Explanation:

Step1: Identify the problem type

We want to test if six groups (versions of advertisement text) differ in a continuous - valued response (evaluation score).

Step2: Recall statistical tests

Inference for regression is used for predicting a response variable based on one or more predictor variables. A two - sample t - test is for comparing two independent groups. A matched pairs t - test is for paired data. A chi - squared test for independence is for testing the relationship between two categorical variables. ANOVA (Analysis of Variance) is used to test if the means of three or more independent groups are different.

Step3: Select the appropriate test

Since we have six independent groups and want to test if their means differ, ANOVA is the most appropriate test.

Answer:

E. ANOVA