Random chance and probability reading

Genetics uses the chi square test to evaluate data

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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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