STP 231 Lecture Notes - Lecture 33: Simple Random Sample, Design Patterns, Test Statistic
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We are only concerned with the right side (right tail) of the graph. That figure that looks like an x2is actually chi-square test statistic and it is an a line and another line crossing but stops crossing when it is longer than the first line. Chi-square goodness-of-fit (gof) test: used with 1 population and 1 variable. Used to determine if a population (variable) is distributed as hypothesized. H0: the distribution is the same as hypothesized. Ha: the distribution differs from the hypothesized values. Df = c -1 where c = # of categories. Expected count = nx (hypothesized value of p) X2will always be chi-square when discussing in this chapter. Chi-square gof test assumptions: simple random sample. All expected frequencies > or equal to 1. No more than 20% of the expect frequencies should be < 5. 256 fortune 400 executives were randomly sampled and asked their. 256 fortune 400 executives were randomly sampled and asked their birth sign.
