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Checking for survey errors One way of checking the effect of undercoverage, nonresponse, and other sources of error in a sample survey is to compare the sample with known facts about the population. About 12% of American adults identify themselves as black. Suppose we take an SRS of 1500American adults and let Xbe the number of blacks in the sample.

(a) Show that Xis approximately a binomial random variable.

(b) Check the conditions for using a Normal approximation in this setting.

(c) Use the Normal approximation to 铿乶d the probability that the sample will contain between 165and 195blacks. Show your work.

Short Answer

Expert verified

From the given information,

a) All of the requirements for a binomial distribution are set in stone. As a result, the variable Xis a random variable with a binomial distribution.

b) The condition for normal approximation is:

np=1500(0.12)=180>10

n(1p)=1500(10.12)=1320>10

c) The required probability is 0.7660

Step by step solution

01

Part (a) Step 1: Given Information 

It is given in the question that, the probability of success(p)=12%=0.12

Number of trials (n)=1500

Show that Xis approximately a binomial random variable.

02

Part (a) Step 2: Explanation 

The random variable Xis a binomial random variable, which means that it has the following properties:

  • There are two types of success and failures: black and non-black.
  • The United States of America is self-sufficient.
  • The amount of blacks is predetermined.
  • The likelihood of selecting a black person is fixed.

Because all of the requirements for a binomial distribution are predetermined. As a result, the variable Xis a random variable with a binomial distribution.

03

Part (b) Step 1: Given Information

It is given in the question that, the probability of success(p)=12%=0.12

Number of trialslocalid="1649681024831" (n)=1500

Check the conditions for using a normal approximation in this setting

04

Part (b) Step 2: Explanation 

Following are the condition for normal approximation is:

np=1500(0.12)=180>10

n(1p)=1500(10.12)=1320>10

As a result, a normal binomial distribution approximation might be utilized.

05

Part (c) Step 1: Given Information 

It is given in the question that, the probability of success(p)= 12%= 0.12

Number of trials (n)= 1500

Use the Normal approximation to 铿乶d the probability that the sample will contain between 165and 195 blacks.

06

Part (c) Step 1: Explanation 

The probability that the sample would contain 165and 195blacks is computed as

localid="1650032315279" P(165X195)=P(1650.12(1500)1500(0.12)(10.12)Z1950.12(1500)1500(0.12)(10.12))=P(1.19Z1.19)=0.7660

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