4 (a) In a random sample of 200 observations, we found the proportion of successes to be 48%. Estimate with 95% confidence the population proportion of successes.
(b) Repeat part (a) with n = 500.
(c) Repeat part (a) with n = 1000.
(d) Describe the effect on the confidence interval
estimate of increasing the sample size.
(a) "95\\%CI=(0.48-1.96\\sqrt{\\frac{0.48(1-0.48)}{200}},0.48+1.96\\sqrt{\\frac{0.48(1-0.48)}{200}})=(0.4108,0.5492)."
(b) "95\\%CI=(0.48-1.96\\sqrt{\\frac{0.48(1-0.48)}{500}},0.48+1.96\\sqrt{\\frac{0.48(1-0.48)}{500}})=(0.4352,0.5238)."
(c) "95\\%CI=(0.48-1.96\\sqrt{\\frac{0.48(1-0.48)}{1000}},0.48+1.96\\sqrt{\\frac{0.48(1-0.48)}{1000}})=(0.4490,0.5110)."
(d) As the sample size increases, the confidence interval narrows.
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