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3. The following table is a cross-tabulation of home ownership and location of residence. Own home Do not own home Urban 31 59 Rural 29
3. The following table is a cross-tabulation of home ownership and location of residence.
Own home | Do not own home | |
Urban | 31 | 59 |
Rural | 29 | 41 |
Conduct a hypothesis test to determine if home ownership and location of residence are independent random variables. Use a 5% level of significance.
4. You have the following random sample of the number of daily calls to police stations in the cities of Baltimore, Washington DC, and Pittsburgh.
Baltimore | Washington DC | Pittsburgh |
862 | 555 | 755 |
766 | 664 | 763 |
608 | 610 | 802 |
911 | 709 | 712 |
980 | 612 | 765 |
888 | 589 | 679 |
812 | 649 | 789 |
678 | 700 | 714 |
765 | 707 | 599 |
709 | 579 | 671 |
808 | 622 | 683 |
- Test the hypothesis that the mean number of daily calls differs across the three cities. The total sum of squares (SST) is equal to 330,463.64. Use a 5% level of significance.
- What is the difference between ANOVA with two categories and a two-sample t-test for differences in means?
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