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According to a study by Dr. John McDougall of his live-in weight loss program, the people who follow his program lose between six and 15 pounds a month until they approach trim body weight. Let’s suppose that the weight loss is uniformly distributed. We are interested in the weight loss of a randomly selected individual following the program for one month. a. Define the random variable. X = _________ b. X ~ _________ c. Graph the probability distribution. d. f(x) = _________ e. μ = _________ f. σ = _________ g. Find the probability that the individual lost more than ten pounds in a month. h. Suppose it is known that the individual lost more than ten pounds in a month. Find the probability that he lost less than 12 pounds in the month. i. P(7 < x < 13|x > 9) = __________. State this in a probability question, similarly to parts g and h, draw the picture, and find the probability.

Short Answer

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Step by step solution

01

Measurement of variables

a.
x=arandomselctedweightlossonemonthindivualprogram

b.

Uniform distribution of X is

X~U(6,15)

c. The probability distribution is

localid="1648231021239" f(x)=1b-a=115-6=19

So, the graph is


d.

The calculation of part c is

f(x)=1906<x<15oisforotherwise

e.

The mean value is

localid="1648231128407" μ=a+b2=6+152=21/2=10.5

f.

The value of standard deviation

σ=b-a212σ=15-6212=2.60

g.

P(x<10)=base×height=(15-10)×19=0.56

02

Calculation of variables

h.

The calculation of P(7<x<13|x>9)

P(7<x<13|x>9)=base×height=(12-10)×115-10=0.40

i. The calculation of probability

localid="1648231805153" P(7<x<13|x>9)=base×height=(13-9)×1(15-9)=0.67

The curve of the probability

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Most popular questions from this chapter

Suppose that the longevity of a light bulb is exponential with a mean lifetime of eight years.

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