If a chi-square test for Hardy-Weinberg deviation yields p < 0.05, what does this imply about the population?

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Multiple Choice

If a chi-square test for Hardy-Weinberg deviation yields p < 0.05, what does this imply about the population?

Explanation:
In Hardy-Weinberg, genotype frequencies are predicted from allele frequencies if certain conditions hold. A chi-square test compares what you actually observe to what HW predicts. If the p-value is below 0.05, the observed frequencies differ enough that this difference is unlikely to be due to random sampling; you reject the idea that the population is in Hardy-Weinberg equilibrium. So the population deviates from HW expectations. The result doesn’t pinpoint a specific cause—nonrandom mating, selection, migration, drift, mutation, or sampling error could all contribute. It also doesn’t support a claim that mutation is occurring at a high rate; that would be one possible cause among others and isn’t directly concluded from the p-value alone.

In Hardy-Weinberg, genotype frequencies are predicted from allele frequencies if certain conditions hold. A chi-square test compares what you actually observe to what HW predicts. If the p-value is below 0.05, the observed frequencies differ enough that this difference is unlikely to be due to random sampling; you reject the idea that the population is in Hardy-Weinberg equilibrium. So the population deviates from HW expectations. The result doesn’t pinpoint a specific cause—nonrandom mating, selection, migration, drift, mutation, or sampling error could all contribute. It also doesn’t support a claim that mutation is occurring at a high rate; that would be one possible cause among others and isn’t directly concluded from the p-value alone.

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