Doug was the friend that told Phil (from Question 1) that he drinks too much coffee. It turns out that Doug might be a bit of a hypocrite, since he also likes to drink lots of coffee. Not only that, Doug also likes to drink a caffeinated sports drink called "SportsCaf". Though to be fair, coffee and SportsCaf are the only caffeinated drinks that Doug consumes. After some self reflection, Doug thinks that the relationship between the number of coffees he drinks (Y) and the number of SportsCaf drinks he drinks (X) in any given week can be described by the joint probability distribution below. He's also pretty confident that his pattern of consumption of caffeinated drinks is independent from week to week. A. B. C. Coffees (y) 12 15 20 10 4 0.09 0.02 0.06 0.09 SportsCaf (x) 5 0.13 0.11 0.07 0.05 8 0.08 0.12 0.08 0.10 -12 Calculate the variance of the quantity 9-X Over the next 11 weeks, find the probability that the total number of caffeinated drinks that Doug consumes in a week is between 16 and 20 (inclusive of both values) in either 5 or 7 weeks. Over the next 52 weeks, find the approximate probability that Doug drinks more than 767 coffees in total.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Question 4
Doug was the friend that told Phil (from Question 1) that he drinks too
much coffee. It turns out that Doug might be a bit of a hypocrite, since he
also likes to drink lots of coffee. Not only that, Doug also likes to drink a
caffeinated sports drink called "SportsCaf". Though to be fair, coffee and
SportsCaf are the only caffeinated drinks that Doug consumes. After
some self reflection, Doug thinks that the relationship between the
number of coffees he drinks (Y) and the number of SportsCaf drinks he
drinks (X) in any given week can be described by the joint probability
distribution below. He's also pretty confident that his pattern of
consumption of caffeinated drinks is independent from week to week.
A.
B.
C.
4
SportsCaf (x) 5
8
Coffees (y)
12
10
15
20
0.09
0.02 0.06 0.09
0.13 0.11 0.07 0.05
0.08 0.12 0.08 0.10
Y-12
Calculate the variance of the quantity
Over the next 11 weeks, find the probability that the total
number of caffeinated drinks that Doug consumes in a week is
between 16 and 20 (inclusive of both values) in either 5 or 7 weeks.
Over the next 52 weeks, find the approximate probability
that Doug drinks more than 767 coffees in total.
Transcribed Image Text:Question 4 Doug was the friend that told Phil (from Question 1) that he drinks too much coffee. It turns out that Doug might be a bit of a hypocrite, since he also likes to drink lots of coffee. Not only that, Doug also likes to drink a caffeinated sports drink called "SportsCaf". Though to be fair, coffee and SportsCaf are the only caffeinated drinks that Doug consumes. After some self reflection, Doug thinks that the relationship between the number of coffees he drinks (Y) and the number of SportsCaf drinks he drinks (X) in any given week can be described by the joint probability distribution below. He's also pretty confident that his pattern of consumption of caffeinated drinks is independent from week to week. A. B. C. 4 SportsCaf (x) 5 8 Coffees (y) 12 10 15 20 0.09 0.02 0.06 0.09 0.13 0.11 0.07 0.05 0.08 0.12 0.08 0.10 Y-12 Calculate the variance of the quantity Over the next 11 weeks, find the probability that the total number of caffeinated drinks that Doug consumes in a week is between 16 and 20 (inclusive of both values) in either 5 or 7 weeks. Over the next 52 weeks, find the approximate probability that Doug drinks more than 767 coffees in total.
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