Imagine that you compared the observed genotype frequencies in a population to the expected genotype frequencies under Hardy-Weinberg equilibrium using a Chi- squared test and obtained a Chi-squared value of 3.85. If the critical value of the Chi- squared test statistic is 3.81 (at alpha = 0.05), what can you safely conclude about this population: It is evolving It is at Hardy-Weinberg equilibrium It is undergoing genetic drift It is not at Hardy-Weinberg equilibrium there is not enough information to know anything

Imagine that you compared the observed genotype frequencies in a population to the expected genotype frequencies under Hardy-Weinberg equilibrium using a Chi- squared test and obtained a Chi-squared value of 3.85. If the critical value of the Chi- squared test statistic is 3.81 (at alpha = 0.05), what can you safely conclude about this population: It is evolving It is at Hardy-Weinberg equilibrium It is undergoing genetic drift It is not at Hardy-Weinberg equilibrium there is not enough information to know anything

Human Heredity: Principles and Issues (MindTap Course List)

11th Edition

ISBN:9781305251052

Author:Michael Cummings

Publisher:Michael Cummings

Chapter19: Population Genetics And Human Evolution

Section: Chapter Questions

Problem 7QP: How Can We Measure Allele Frequencies in Populations? Drawing on your newly acquired understanding...

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How Can We Measure Allele Frequencies in Populations? Drawing on your newly acquired understanding of the HardyWeinberg equilibrium law, point out why the following statement is erroneous: Because most of the people in Sweden have blond hair and blue eyes, the genes for blond hair and blue eyes must be dominant in that population.
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If you survey the genotype frequencies at locus E, which has alleles E (frequency =p) and e (frequency=q), and find that p2 + 2pq + q2 is much greater than 1, you can confidently conclude that Group of answer choices you made a math error the allele frequencies must also sum to greater than 1 the population is not at HWE with respect to locus E the population is not at HWE with respect to any loci
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Pretend that you are comparing the actual genotype distribution for a population with the distribution of genotypes predicted by the Hardy-Weinberg theorem. So you hypothesize that the population is in Hardy-Weinberg equilibrium (i.e. that actual population data fit the Hardy-Weinberg expectations). If you carry out chi-square goodness of fit test and calculate a total chi-square value of 0.03 with 1 degree of freedom (see table), what does this mean?
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