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Unformatted text preview: you expected to find. Genetics uses the Chi-square test to evaluate
data from experimental crosses to determine if the assumed genetic explanation is supported by
the data. The Chi-square test helps you to decide if the difference between your observed results
and your expected results is probably due to random chance alone, or if there is some other factor
influencing the results.
The Chi-square test will not prove or disprove if random chance is the only thing causing
observed differences, but it will give an estimate of the likelihood that chance alone is at work.
Chi-square is calculated based on the formula below: Using the data on the projected slide, complete the Trial Data Chi-square Analysis Table.
Enter the “Degrees of Freedom” based on the explanation below. Degrees of Freedom
Which row do we use in the Chi-square Distribution table?
The rows in the Chi-square Distribution table refer to degrees of freedom. The degrees of
freedom are calculated as the one less than the number of possible re...
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