Chi-Square test worksheet - pafaculty.net

Statistical Test of Significance: the Chi-Square Test The Chi-Square Test is generally used to evaluate differences between experimental or observed data and expected or hypothetical data. As a goodness of fit test, it tells us how well a set of observations fits the outcome predicted by the hypothesis being tested. It tells us whether there is a statistically significant difference between what we observed and what we expected. For example, if we tossed a balanced coin 100 times, we would expect it to come up heads about 50 times and tails about 50 times. How far from this 50-50 prediction could the observations be and still fit our prediction? Assume the results of our 100 trials were as follows: observed expected Heads 55 50 Tails 45 50 Could we get this variation by chance alone?

ratio of 3 yellows to 1 green. With 500 peas from this cross you would expect 375 yellow and 125 green.) Test your understanding of the Chi Square test by evaluating the following data from some of

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