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Chi-squared distribution

linkage chi-square test

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1 LECTURE: Linkage & Chi-square test Linkage & Chi-squared Test Outline and Objective 2 ? Accounting for disruptions in expected Mendelian ratios ? Application of the Chi-square test ? Objective: At the end of this lesson you should be able to: 1. Define the term linked gene 2. Differentiate between results obtained from linked genes and non-linked genes in dihybrid crosses 3. Write a null hypothesis 4. Apply the chi-squared test to results observed from crosses LECTURE: Linkage & Chi-square test 3 Review ?We have been looking so far at inheritance of genes on different chromosomes. ? Since humans for example, have thousands of traits, each chromosome must carry a large number of genes.

chapter 11

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AP Statistics Chapter 11 Outline 11.1 Chi-Square Goodness-Of-Fit Tests Chi-Square Statistic The chi-square statistic is a measure of how far the observed counts are from the expected counts: Where the sum is over all possible values of the categorical variable The Chi-Square Distribution The chi-square distributions are a family of distributions that take only positive values and are skewed to the right. A particular chi-square distribution is specified by giving its degrees of freedom. The chi-square goodness-of-fit test uses the chi-square distribution with degrees of freedom = the number of categories - 1. The Chi-Square Goodness-of-Fit Test
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