As you may recall from biostats (the statistics course that is a pre-requisite for this course) we can never measure an entire population of interest, we only have sample data. this means that even if a population is at h-w equilibrium the genotype frequencies for a sample would almost never perfectly match the frequencies predicted from the allele frequencies. the x2 (chi-squared) statistical technique can be used to test observed deviations from expectation and determine whether the population is likely to be at h-w equilibrium or not. consider the following data for a sample of 522 individuals collected from a populationgenotype numberaa 121aa 291aa . 110conduct a x2 test (as learned in bio 260, a prerequisite for this course) to determine if this data indicates that the population appears to be at h-w equilibrium based on this sample.(a) what is the x2 calc value you calculate for this data? x2 calc. = ? (show all work, round to nearest 0.0001)(b) compare this to the appropriate critical values or use a statistical p = ? program to provide a range or exact value for the p value of your test.(c) interpret your results, would you conclude that this population is at h-w equilibrium or not? if not, what may be happening?