How much caffeine is in a cup of coffee? Suppose the amount, a, of caffeine in a cup of coffee A is normally distributed with mean 104 mg and standard deviation 12 mg, the amount, b, of caffeine in a cup of coffee B is normally distributed with mean 135 mg and standard deviation 9mg , and the amount, c, of caffeine in a cup of coffee C is normally distributed with mean 168mg and standard deviation 18 mg. Suppose we make a triple cup of coffee by mixing a cup of coffee A, a cup of coffee B, and a cup of coffee C together. Let X = total amount of caffeine in the triple cup. X = a + b + c. Let W = weighted caffeine taste in the triple cup, defined by W = 3a - 2b + c. Note: a,b, and c are

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How much caffeine is in a cup of coffee? Suppose the amount, a, of caffeine in a cup of coffee A is normally distributed with mean 104 mg and standard deviation 12 mg, the amount, b, of caffeine in a cup of coffee B is normally distributed with mean 135 mg and standard deviation 9mg , and the amount, c, of caffeine in a cup of coffee C is normally distributed with mean 168mg and standard deviation 18 mg. Suppose we make a triple cup of coffee by mixing a cup of coffee A, a cup of coffee B, and a cup of coffee C together. Let X = total amount of caffeine in the triple cup. X = a + b + c. Let W = weighted caffeine taste in the triple cup, defined by W = 3a - 2b + c. Note: a,b, and c are independent of one another. Using R and writing out the code

a) Calculate the expected value of X. 

b) Calculate the standard deviation of X. 

c) Calculate the expected value of W. 

d) Calculate the variance of W. 

e) If we pick a value k such that the probability that X > k equals .10 then calculate k? 

f) The triple cup is considered bitter if X > 450. What is the probability the triple cup is bitter? 

g) What is the probability that X is within two standard deviations of its expected value? 

h) What is the probability that a is greater than b? 

i) What is the probability that a, b, and c are all less than their 60th percentiles?

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