If you find a p-value of 0.49 from chi-squared analysis with an assumption of independent assortment, what would be your most appropriate conclusions? a) You reject the null hypothesis, there is enough evidence to suggest something more than random sampling error is responsible for the differences observed, data ARE NOT consistent with independent assortment
b) You fail to reject the null hypothesis, there is NOT enough evidence to suqgest something more than random sampling error is responsible for the differences observed, data ARE consistent with independent assortment
c) You fail to reject the null hypothesis, there is NOT enough evidence to suggest something more than random sampling error is responsible for the differences RE NOT consistent with independent assortment oserved,
d) You reject the null hypothesis, there is enough evidence to suggest something more than random sampl ing error is responsible for the differences observed, data ARE consistent with independent assortment