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It has been estimated that only about 30% of California residents have adequate earthquake supplies. Suppose we are interested in the number of California residents we must survey until we find a resident who does not have adequate earthquake supplies.

a. In words, define the random variable X.

b. List the values that X may take on.

c. Give the distribution of X. X ~ _____(_____,_____)

d. What is the probability that we must survey just one or two residents until we find a California resident who does not have adequate earthquake supplies?

e. What is the probability that we must survey at least three California residents until we find a California resident who does not have adequate earthquake supplies?

f. How many California residents do you expect to need to survey until you find a California resident who does not have adequate earthquake supplies?

g. How many California residents do you expect to need to survey until you find a California resident who does have adequate earthquake supplies?

Short Answer

Expert verified

a. The random variable X is the number of California resident who does not have adequate earthquake supplies.

b. The values of X are X=1,2,3,4,....

c. The distribution of X is localid="1649159629416" X~G(0.70)

d. The probability that we must survey just one or two residents unless we find a California resident who does not have adequate earthquake supplies is 0.91

e. The probability that we must survey at least three California residents unless we find a California resident who does not have adequate earthquake supplies is 0.063

f. The number of California residents we expected to survey until we find a California resident who does not have adequate earthquake supplies is 1.428

g. The number of California residents we expected to survey until we find a California resident who does have adequate earthquake supplies is3.33

Step by step solution

01

Content Introduction

In a Bernoulli trial, the likelihood of the number of successive failures before a success is obtained is represented by a geometric distribution, which is a sort of discrete probability distribution. A Bernoulli trial is a test that can only have one of two outcomes: success or failure.

02

Explanation (part a)

Random variable in simple terms generally refers to variables whose values are unknown, therefore, in this case X is the number of California resident who does not have adequate earthquake supplies.

03

Explanation (part b)

Make the list of values that you want to use X may take on.

As we can see there is an upper bound for the situation at hand so,

X=1,2,3,4,......

04

Explanation (part c)

The random variable X refers to the number of trials before the first success. Each trial is independent of others and has similar probability of success.

This implies that random variable X follows Geometric Distribution.

Thus, the distribution of X isX~G(0.70)

05

Explanation (part d)

The probability that we must survey just one or two residents unless we find a California resident who does not have adequate earthquake supplies is as follow:

P(X=1orX=2)=P(X=1)+P(X=2)=[(1-0.70)1-1×(0.70)]+[(1-0.70)2-1×(0.70)]=0.70+0.21=0.91

06

Explanation (part e)

The probability that we must survey at least three California residents unless we find a California resident who does not have adequate earthquake supplies is as follow:

P(X3)=P(X=1)+P(X=2)+P(X=3)=x=13(1-0.70)x-1×0.70=0.063

07

Explanation (part f)

The number of California residents we expected to survey until we find a California resident who does not have adequate earthquake supplies is as follow:

The expected value of geometric distribution is:

E(X)=1pwhere p=0.70

Thus,

E(X)=1pE(X)=10.70E(X)=1.428

08

Explanation (part g)

The number of California residents we expected to survey until we find a California resident who does have adequate earthquake supplies is as follow:

The expected value of geometric distribution is:

E(X)=1pwhere, p=0.30

Thus,

E(X)=10.30E(X)=3.33

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