Audunn explores whether the commute patterns of students differ between schools. He asked 20 students in MR, MH and Versló, in total 60 students if they came in private cars (either as drivers or...

Extracted text: Audunn explores whether the commute patterns of students differ between schools. He asked 20 students in MR, MH and Versló, in total 60 students if they came in private cars (either as drivers or passengers) or if they travel by other means. The results are shown below. MH MR Versló Other 11 16 6 Private car 9 4 14 Tafla 1: Table one with measured frequency. MH MR Versló Other 11.00 11.00 11.00 Private car 9.00 9.00 9.00 Table two with expected frequency. Which of the following conditions apply to the test as Audunn intends to perform? 1. All values in Table 1 are larger than 5 so the conditions for the test are valid. 2. Table 1 contains the value 4, which is less than 5, so the test conditions are not valid. 3. All values in Table 2 are larger than 5, so the test conditions are not valid. 4. D All values in Table 2 are larger than 5 so the conditions for the test are valid. The next two questions relate also to Auduns investigation. Audun will explore the differences in commute patterns by schools with a chi- square test. What should his alternative hypothesis be? 1. H1: P1 = P2 = P3. 2. H, the ratios are not all equal. 3. H1: There is a relationship between commute patterns and the schools that students attend to. 4. H1: There is no relationship between commute patterns and the schools that students attend to. The next question also concerns Auduns study. The results of Auduns hypothesis tests are listed below. Pearson's Chi-squared test data: tafla X-squared = 25.887, df = 2, p-value = 2.392e-06 What is the result? 1. Auðunn rejects the null hypothesis with a = 0.05. 2. Auðunn rejects the alternative hypothesis with a 0.05. 3. Auðunn makes no claims. 4. Auðunnrejects the alternative hypothesis with a =0.01.