QUESTION 4 A biased coin has two chances in ten of landing in heads. Suppose we toss it n times and note number of heads. The box model that represents this chance process is draw n times with replacement from a: box with fraction of 1's being 50% and look at average of draws. box with fraction of 1's being 50% and look at sum of draws. box with fraction of 1's being 20% and look at sum of draws. box with fraction of 1's being 20% and look at average of draws. QUESTION 5 A biased coin has one chance in ten of landing heads. It is tossed 400 times. Estimate the probability of getting between 40 to 50 heads. (Hint: This is Normal Approximation to Binomial, application of CLT.) P(40 x 50): 0.5762 0.4525 0.4902 0.6144 QUESTION 6 A biased coin has two chances in ten of landing heads. It is tossed 100 times. Estimate the probability of getting between 25% to 30% heads. (Hint: This is Normal Approximation to Binomial, application of CLT.) P(0.25 x0.30): 0.5762 0.0994 0.4902 0.6144