1. When three groups were compared using the one-way Analysis of Variance (ANOVA), the result turned out to be significant, that is, the null hypothesis was rejected. What will be the appropriate interpretation of this result? A. All three groups significantly differ in means. B. Exactly two of the three groups significantly differ. C. At least two of the three groups significantly differ in means. D. All three groups have the same effect on the dependent variable. 2. What procedure is used to test whether two interval or ratio variables are related or not? A. Correlation Analysis B. Two-sample t-test C. Chi-square test D. Analysis of Variance 3. A student wanted to test whether there was a difference in the mean daily hours of study for students living in four different dormitories. She selected a random sample of 50 students from each of the four dormitories. What is the null hypothesis for this situation? A. The mean daily hours of study is 3 hours for each dormitory. B. The mean daily hours of study is not the same for each dormitory. C. The mean daily hours of study is different for each of the 200 students in the sample. D. The mean daily hours of study is the same for all four dormitories.

4. For the given data below, determine the linear correlation coefficient r. The paired data below consists of the costs of advertising (in thousands of pesos) and the number of products sold (in thousands).

20 36 13 20 30 y = -3.79 + 0.801x y = -2.29 + 0.950x OA OB y = -2.79 + 0.897x y = -3.79 + 0.897x O c ODANOVA for GPA Source of Variation SS df MS F comp Treatment (Among Groups) 2.134 2 1.067 3.00 Error (Within Groups) 49.719 231 0.215 Total 51.852 233\f