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In a survey of 1060 Canadian adults, 730 say that the energy situation in Canada is very or fairly
serious. 1. Find the point estimate for the population proportion. 0.6887 2. Construct a 95%
confidence interval for the population proportion. (a) The critical value: 1.9600 (b) The margin
of error: 0.0279 (c) The lower limit of the interval: 0.6608 (d) The upper limit of the interval:
0.7166 3. find the minimum sample size needed to estimate the population proportion at the 99%
confidence level in order to ensure that the estimate is accurate within 5% of the population
proportion. (a) The critical value: 2.5760

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In a survey of 1060 Canadian adults, 730 say that the energy situatio.pdf

  • 1. In a survey of 1060 Canadian adults, 730 say that the energy situation in Canada is very or fairly serious. 1. Find the point estimate for the population proportion. 0.6887 2. Construct a 95% confidence interval for the population proportion. (a) The critical value: 1.9600 (b) The margin of error: 0.0279 (c) The lower limit of the interval: 0.6608 (d) The upper limit of the interval: 0.7166 3. find the minimum sample size needed to estimate the population proportion at the 99% confidence level in order to ensure that the estimate is accurate within 5% of the population proportion. (a) The critical value: 2.5760