The brown-eyed man from the previous question also has kids with a woman with brown eyes, whose whole family for the past 10 generations had brown eyes. What percentage of their children can be expected to have blue eyes?     a. 0%     b. 25%     c. 50%     d. 75%     e. 100%

1. Suppose that a set of samples x1, x2, ..., xn, all real numbers, are drawn i.i.d. from the same distribution. Also assume that this distribution is a Gaussian distribution, which can be represented as N(u, o²). Write a function that accepts a set of samples and returns the MLE estimator for u. NOTE: The code below will be evaluated by a Python 2.7 interpreter. def mle(samples): pass Run Reset Once your function is correct, your will receive a submission code that you should input into the answer field. Enter answer here 2. In the previous question, you were asked to write a function for an estimator of a parameter of a distribution. Is the result of this function, an estimator, a random variable? Yes No

In humans, eye color is an autosomal trait that is determined by the expression of a single gene with two alleles. Brown eye pigment is the dominant trait. A brown-eyed man, whose mother had blue eyes, has children with a blue-eyed woman. What percentage of their children can be expected to have blue eyes?     a. 0%     b. 25%     c. 50%     d. 75%     e. 100%

The probability of event A is 55%. The probability of event B is 40%. The probability that A happens given that B has happened is 25%. What is the probability that both A and B happen? 95% 70% 65% 10% 15%