27, In a chi-square goodness of fit analysis, what is the null hypothesis? A) It

Question

27, In a chi-square goodness of fit analysis, what is the null hypothesis? A) It is likely that the difference between observed and expected values predicted by the model arise by mathematical chance, and is therefore statistically significantly. B) It is likely that the experiment was conducted correctly. CI It is unlikely that the difference between observed and expected values predicted by the model arise by chance, and the difference is therefore statistically significant D) It is unlikely that the experiment was conducted correctly E) it is likely that the difference between observed and expected values predicted by the model arise by mathematical chance, and is therefore not statistically significantly. 28 Members of a population with the following genotypes have the indicated numbers of offspring: . A1A1#2 The genotype and A:A2-4 and A2A2:10 exhibits the lowest fitness and has a selection coefficient of

Explanation / Answer

27] The answer is E. It is likely that the difference between observed and expected values predicted by the model arise by mathematical chance and is therefore, not statistically significant.

Explaination:

In a Chi square goodness of fit test, the null hypothesis assumes that thereis no significant difference between the observed and expected values.

28] The answer is D) A1A1; 0.2

Explaination:

Relative fitness is the survival rate or reproductive rate of a genotype or phenotype relative to the maximum survival or reproductive rate of other genotypes in the population.

Thus, the genotype with the lowest offsprings have the lowest fitness.

The Selection Coefficient = reproductive rate/ highest reproductive rate = 2/10 = 0.2.

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