Unformatted text preview: very likely use different words, so look at these as examples: Example 2 The outcomes are the same The outcomes are not the same Example 3 Rounds played is the same each day Rounds played is not the same each day Example 4 There is no difference in the proportions There is a difference in the proportions Example 5 The proportions are the same The proportions are not the same And so on. Here is the key to recognize chi-square: we recognize a chi-square application by seeing that we are given several categories each with observed frequencies, and are asked if the expected frequencies fit those categories. (Note: in this course we will only study the "equal expected frequencies" and not include the "unequal expected frequencies"). BTW - we also know that chi-square is typically nominal data. ...the level of measurement that relates to categories. And we must use degrees of freedom with this data (use the Chi-Square Critical Values, Appendix E)....
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This note was uploaded on 10/10/2010 for the course STATS Stats301 taught by Professor Regis during the Spring '10 term at DeVry Irvine.
- Spring '10