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n 200 5. [12 marks] Workers in several industries were surveyed to determine the proportion of workers who feel their industr
ME =0.05 b) [6-3 each] Assuming the same sample size will be used in each industry, how large would the sample need to be to
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Answer #1

Confidence interval for proportion

\hat{p} \pm Zcritical * \sqrt{\frac{\hat{p}(1-\hat{p})}{n} }

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(a) For Government

= 0.37 \pm 1.96 * \sqrt{\frac{0.37*0.63}{200}}

Lower limit = 0.37 - 0.067 = 0.303

Upper Limit = 0.37 + 0.067 = 0.437

The Confidence interval is (0.303, 0.437)

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For Health Care

= 0.33 \pm 1.96 * \sqrt{\frac{0.33*0.67}{200}}

Lower limit = 0.33 - 0.065 = 0.265

Upper Limit = 0.33 + 0.065 = 0.395

The Confidence interval is (0.265, 0.395)

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For Education

= 0.28 \pm 1.96 * \sqrt{\frac{0.28*0.72}{200}}

Lower limit = 0.28 - 0.062 = 0.218

Upper Limit = 0.28 + 0.062 = 0.342

The Confidence interval is 0.218, 0.342

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SAMPLE SIZE

The ME = Zcritical * SQRT(p * q/n).

Squaring and solving, n = (Zc/ME)2 * p * q

For Government

Pilot Study

p = 0.37, q = 0.63, ME = 0.05

n = 358.19 \approx    359
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For Health Care

Pilot Study

p = 0.33, q = 0.67, ME = 0.05

n = 339.75 \approx    340

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For Education

Pilot Study

p = 0.28, q = 0.67, ME = 0.05

n = 309.79 \approx    310

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Worst Case Scenario (For all three)

p = 0.5, q = 0.5, ME = 0.05

n = 384.16 \approx    385

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