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Job Trends Analysis: Normal Approximation & Z-Values
Chapter 6, Problem 19(choose chapter or problem)
According to the government, 5.3% of those employed are multiple-job holders. In a random sample of 150 people who are employed, what is the probability that fewer than 10 hold multiple jobs? What is the probability that more than 50 are not multiple-job holders?
Source: www.bls.gov
Questions & Answers
QUESTION:
According to the government, 5.3% of those employed are multiple-job holders. In a random sample of 150 people who are employed, what is the probability that fewer than 10 hold multiple jobs? What is the probability that more than 50 are not multiple-job holders?
Source: www.bls.gov
ANSWER:Step 1 of 4
(a)
We have given a random sample of 150 people who are employed.
According to the government, 5.3% of those employed have arc multiple-job holders.
We are asked the probability that fewer than 10 hold multiple jobs.
Let \(x\) denote the number of people who hold multiple jobs.
We need to find \(P(X<10)\).
Here we will use the normal approximation to the binomial approximation.
Here, \(p=5.3 \%=0.053, q=0.947\), and \(n=150\).
Check to see whether a normal approximation can be used.
\(n p=0.053 \times 150=7.95, a n d n q=150 \times 0.947=142.05\)
Since \(n p \geq 5\) and \(n q \geq 5\), the normal distribution can be used.
Find the mean and standard deviation.
\(\text { mean }=\mu=n p=0.053 \times 150=7.95\)
\(\text { standard deviation }=\sigma=\sqrt{n p q}=\sqrt{150 \times 0.947 \times 0.053}=2.744\)
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Job Trends Analysis: Normal Approximation & Z-Values
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Explore the nuances of determining the likelihood of specific employment patterns using statistical methods. Understand the application of the normal approximation to the binomial distribution and the role of z-values in probability determinations. Gain clarity on interpreting employment trends with the help of a standard normal table.