the proposed model. What is your conclusion at the alpha = 0.1 level and what is the p-value of this test? How do you come to this conclusion?
In a particular DNA region of 800 bases, the following counts of each of these bases was observed: A - 300, C - 105, G - 83, T - 312.
A geneticist believes that in this region the probability of observing an A is equal to the probability of observing a T and they are both 0.4, and the probability of observing a C is equal to the probability of observing a G and they are both 0.1.
Perform a chi-squared goodness-of-fit test to test the null hypothesis that there is no significant difference between the observed data and the proposed model versus the alternative that the data differs significantly from the proposed model.
What is your conclusion at the alpha = 0.1 level and what is the p-value of this test? How do you come to this conclusion?
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