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Unformatted text preview: be a 2 2 table of expected counts.) (b) State the assumptions made by the chi-squared test. For each assumption, state whether or not it is satised by our data. (c) State the hypotheses for the chi-squared test. (d) Calculate the value of the test statistic X 2 . (e) In the following step, we will compare this observed X 2 value to a chi-squared dis-tribution. What df should this chi-squared distribution have? (f) Find the p-value as best you can (i.e., between 0.025 and 0.05) using a chi-squared table or any other method of your choice. (g) Use this p-value to make a decision, and interpret this decision in the context of the actual variables. (Your interpretation should be understandable by someone who doesnt know anything about this data or about statistics in general.)...
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This note was uploaded on 03/27/2012 for the course STA 3024 taught by Professor Ta during the Spring '08 term at University of Florida.
- Spring '08