For your projects, an important requirement is that you write the hypotheses appropriate for your project and then carry out a statistical test. These tests are:
1. One population, probably testing the mean against some hypothesised mean. This is Chapter 9. For example, the Skytrain management claims that their trains are never more than 3 minutes behind schedule.
2. Two populations, testing whether there is any difference in the means of two populations. This is Chapter 10. For example, do cosmetics cost the same at London Drugs and Pharmasave?
3. Test of independence, or 'chi-squared'. This is Chapter 12. For example, do men or women drink a certain type of drink in Starbucks. You would want to get your data into a structure looking like a contingency table.
4. Regression, testing for the relationship between a dependent variable and one or more independent variables. This is Chapter 13. For example, does the unemployment rate have any relationship to the sale of used cars?
Note that we have to do a statistical test of your hypotheses using one or more of the methods above. To do this we need data. So if you can't find any data, then you'll need to think again.
You can collect data yourself, or from a reliable source. If you need any help, you have only to ask me. If you collect data yourself, be aware of privacy issues. No names or personal details, please.
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