Statistical Methods for Economists – Week 2 (Questions and Tasks) The topic: Hypothesis testing 1.) Explain what is a statistical hypothesis, and what is a null hypothesis. 2.) Explain what is a statistical significance and p-value. 3.) What 4 main steps are involved when testing a hypothesis? 4.) Explain the difference between a parametric and a non-parametric test. 5.) (One-sample t-test for the population mean) Test the hypothesis that an average bank loan is 25 000 Euro in a certain bank, if the sample of bank loans (obtained randomly) is: 30 000; 15 000; 22 000; 50 000; 20 000; 18 000; 15 000; 30 000 Euro. 6.) (Two-sample t-test of pop. means with equal variances) Test the hypothesis that the consumption of salt and sugar per month in ten randomly chosen households is the same. household no. 1 2 3 4 5 6 7 8 9 10 salt (kg) 1.5 2.2 4.0 3.6 2.2 2.8 1.7 2.3 3.5 2.8 sugar (kg) 3.3 4.1 2.7 3.5 3.6 2.8 3.9 2.5 2.4 3.8 7.) Use F-test to test the hypothesis about equality of variances (salt vs sugar) in the previous Problem 6. 8.) Explain how Chi-test is used for testing hypothesis. 9.) (Chi-square test) In the table below there is a statistics of car crashes in a town X. Test the hypothesis that the number of crashes in each month is the same. Month January February March April Car crashes 15 22 17 24 10.) (Chi-square test) In the table below there are numbers of men and women visiting (or not) local wellness (based on a random sample). Test the hypothesis that women and men visit the wellness equally. visit wellness do not visit Men 50 54 Women 68 48