The white "Spirit" black bear (or Kermode) Ursus americanus kermodei, differs from the ordinary black bear by a single amino acid change in the melanocortin 1 receptor gene (MC1R). In this population, the gene has two forms (or alleles): the "white" allele b and the "black" allele B. The trait is recessive: white bears have two copies of the white allele of this gene (bb), whereas a bear is black if it has one or two copies of the black allele (Bb or BB). Both color morphs and all three genotypes are found together in the bear population of the northwest coast of British Columbia. If possessing the white allele has no effect on growth, survival, reproductive success, or mating patterns of individual bears, then the frequency of individuals with 0, 1, or 2 copies of the white allele (b) in the population will follow a binomial distribution. To investigate, Hedrick and Ritland (2011) sampled and genotype 87 bears from the northwest coast:
42 were BB
24 were Bb
21 were bb
Assume that this is a random sample.
A formal hypothesis test was carried out to compare the observed and expected frequencies of genotypes. The procedure obtained P = 0.0001.
1. "The frequency distribution of genotypes has a binomial distribution in the population" is the____ hypothesis, whereas "The frequency distribution of genotypes does not have a binomial distribution" is the _ hypothesis.
2. The degrees of freedom for the test statistic are .
Say whether the each of the following statements is true or false solely on the basis of these results:
3. The difference between the observed and expected frequencies is statistically significant.
4. The test statistic exceeds the critical value corresponding to α = 0.05. _
5. The test statistic exceeds the critical value corresponding to α = 0.01. ________

1) "The frequency distribution of genotypes has a binomial distribution in the population" is the NULL hypothesis, whereas "The frequency distribution of genotypes does not have a binomial distribution" is the ALTERNATE hypothesis.

2) Degrees of freedom: see attached calculation for

3) True, the difference between the observed and expected frequencies is statistically significant since p-value < ∝ alpha (0.05)

4) True

when, 14.9011 > 3.8415 where ∝ = 0.05

when, p-value < alpha,TS > critical value

here p-value < 0.0001 < 0.05

5) True

when, 14.9011 > 6.635 where ∝ = 0.01

when, p-value < alpha,TS > critical value

here p-value < 0.0001 < 0.01