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About 6% of employed adults in the United States held multiple jobs. A random sample of 69 employed adults is chosen. Use th
(c) Find the probability that more than 6.1% of the individuals in the sample of 339 hold multiple jobs. Round the answer to
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Answer #1

(a) It is not appropriate to use Normal curve , since np = 69*0.06= 4.14 < 10

(b) As n = 339

np = 339*0.06 = 20.34 > 10 , n(1-p) = 339*(1-0.06) = 318.66> 10

then we can use normal approximation to binomial

As we know that sampling distribution of sample proportion (\hat{p} ) follow Normal  

with mean, E( \hat{p} ) = p = 0.06

and standard error = \sqrt{\hat{p}(1-\hat{p})/n}= \sqrt{0.06*0.94/339}=0.0129

To find

P(\hat{p}< 0.066)

As \hat{p}\sim N(0.06,0.0129)

z=\frac{\hat{p}-p}{\sqrt{p(1-p)/n}}\sim N(0,1)

P(\hat{p}< 0.066)

=P(z<\frac{0.066-0.06}{0.0129})

= P( z < 0.47)

= 0.6808

Answer : Probability = 0.6808

(c)

P(\hat{p}> 0.061)

=P(z>\frac{0.061-0.06}{0.0129})

= P( z > 0.08)

= 0.4681

Answer : Probability = 0.4681

Note : Using TI 84 calculator , P( z < 0.47)

Press 2nd key , then VARS , chose normal cdf ,

lower limit = -99

upper limit = 0.47

mean =0 , stanadard deviation = 1

that is enter normalcdf( -99, 0.47, 0,1) we get P( z< 0.47) = 0.6808

For P( z > 0.08 ) ,we first find P( z < 0.08)

that is enter normalcdf( -99, 0.08, 0,1) we get P( z< 0.08 ) = 0.5319

p( z > 0.08) = 1- 0.5319 = 0.4681

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