In a certain food stall, 278 out of 500 randomly selected consumers to indicate their preference for a new kind of food combination. Use a 99% confidence interval to estimate the true proportion ρ who like the new food combination.
The sample proportion is computed as follows, based on the sample size "N = 500" and the number of favorable cases "X = 278:"
The critical value for "\\alpha = 0.01" is "z_c = z_{1-\\alpha\/2} = 2.5758."
The corresponding confidence interval is computed as shown below:
"\\hat{p}+z_c\\sqrt{\\dfrac{\\hat{p}(1-\\hat{p})}{N}})"
"=(0.556-2.5758\\sqrt{\\dfrac{0.556(1-0.556)}{500}},"
"0.556+2.5758\\sqrt{\\dfrac{0.556{p}(1-0.556)}{500}})"
"=(0.499, 0.613)"
Therefore, based on the data provided, the 99% confidence interval for the population proportion is "0.499<p<0.613," which indicates that we are 99% confident that the true population proportion "p" is contained by the interval "(0.499, 0.613)."
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