Using Durkheim’s theory of anomie (normlessness) as a basis, a sociologist obtained the following suicide rates (the number of suicides per 100,000 population), rounded to the nearest whole number, for five high-anomie, five moderate-anomie, and five low-anomie metropolitan areas (anomie was indicated by the extent to which newcomers and transients were present in the population). Test the null hypothesis that high-, moderate-, and low-anomie areas do not differ with respect to suicide rates. Write a concluding statement. Anomie High Moderate Low 19 15 8 17 20 10 22 11 11 18 13 7 25 14 8

2.) The table shows the distribution of a random sample of fatal motor vehicle collisions by time of day and gender in a recent year. Use a = 0.10 significance to perform a Chi-Square hypothesis test. O: E: C: O: E: C: totals: 12:00-5:59 6:00-11:59 654 308 490 231 12:00-5:59 pm 654 308 6:00-11:59 pm 1471 692 totals

Analysis of Variance. A research study compared beer consumed daily between 3 groups with 3 observations each. Group1 was USC, Group 2 UCLA, and Group 3 UCSB. Determine if there is a significant difference among the groups 5% level. Group1: USC Group 2: UCLA Group 3: UCSB The Results of this study are in the following table:                     Group1                           Group2                                    Group3 Sample         3, 4, 5                                3.2, 4, 4.2                             3, 4, 3.3 Mean           4.0                                    3.7                                         3.4 S^2               4.4                                    5.2                                         6.1   a. What are the null and alternative hypotheses?   b. what is the average mean due to treatments?   c. What is the Treatment Sum Square SSTR?                d. What is the Mean Square Treatments MSTR?

14. When people buy more mittens, they also buy more hot chocolate. Therefore, the smell of the drink programs people into wanting mitten-shaped objects. Group of answer choices Correlation does not imply causation Variables aren’t independent (A|B =/= B|A) Highly improbable events tend to get famous There will likely be a self-reporting bias Terrible Survey Design: Biased question Terrible Survey Design: Sampling technique Terrible Survey Design: Small sample size