Coin Flipping Experiment A coin is flipped twice. Let Y be the number of heads obtained, when the probability of a head for a flip equals #. 1. Assuming # = 0.50, specify the probabilities for the possible values for Y, and find the distribution's mean and standard deviation. 2. Find the binomial probabilities for Y when rr equals (a) 0.60 and (b) 0.40. 3. Suppose you observe y = 1 and do not know . Calculate and plot the likelihood function. 4. Using the generated plot in Item No. 3, what is the corresponding ML estimate of ?

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.4: Discrete Random Variables; Applications To Decision Making
Problem 2E
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Coin Flipping Experiment
A coin is flipped twice. Let Y be the number of heads obtained, when the probability of a head for a flip
equals .
1. Assuming # = 0.50, specify the probabilities for the possible values for Y, and find the distribution's
mean and standard deviation.
2. Find the binomial probabilities for Y when 7 equals (a) 0.60 and (b) 0.40.
3. Suppose you observe y = 1 and do not know 7. Calculate and plot the likelihood function.
4. Using the generated plot in Item No. 3, what is the corresponding ML estimate of ?
Transcribed Image Text:Coin Flipping Experiment A coin is flipped twice. Let Y be the number of heads obtained, when the probability of a head for a flip equals . 1. Assuming # = 0.50, specify the probabilities for the possible values for Y, and find the distribution's mean and standard deviation. 2. Find the binomial probabilities for Y when 7 equals (a) 0.60 and (b) 0.40. 3. Suppose you observe y = 1 and do not know 7. Calculate and plot the likelihood function. 4. Using the generated plot in Item No. 3, what is the corresponding ML estimate of ?
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