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In a survey of 1030 Canadian adults, 710 say that the energy situation in Canada is very or fairly serious. 1. Find the point estimate for the population proportion. 2. Construct a 95% confidence interval for the population proportion. (a) The critical value: (b) The margin of error: (c) The lower limit of the interval: (d) The upper limit of the interval: 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: (b) The margin of error: (c) The sample size:Tries 0/5.

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In a survey of 1030 Canadian adults, 710 say that the energy situation in Canada is very or fairly serious. 1. Find the point estimate for the population proportion. 2. Construct a 95% confidence interval for the population proportion. (a) The critical value: (b) The margin of error: (c) The lower limit of the interval: (d) The upper limit of the interval: 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: (b) The margin of error: (c) The sample size:Tries 0/5

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  • 1. In a survey of 1030 Canadian adults, 710 say that the energy situation in Canada is very or fairly serious. 1. Find the point estimate for the population proportion. 2. Construct a 95% confidence interval for the population proportion. (a) The critical value: (b) The margin of error: (c) The lower limit of the interval: (d) The upper limit of the interval: 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: (b) The margin of error: (c) The sample size:Tries 0/5