Question #336791

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.


1
Expert's answer
2022-05-05T16:48:09-0400

The sample proportion is computed as follows, based on the sample size N=500N = 500 and the number of favorable cases X=278:X = 278:


p^=XN=278500=0.556\hat{p}=\dfrac{X}{N}=\dfrac{278}{500}=0.556

The critical value for α=0.01\alpha = 0.01 is zc=z1α/2=2.5758.z_c = z_{1-\alpha/2} = 2.5758.

The corresponding confidence interval is computed as shown below:


CI(Proportion)=(p^zcp^(1p^)N,CI(Proportion)=(\hat{p}-z_c\sqrt{\dfrac{\hat{p}(1-\hat{p})}{N}},

p^+zcp^(1p^)N)\hat{p}+z_c\sqrt{\dfrac{\hat{p}(1-\hat{p})}{N}})

=(0.5562.57580.556(10.556)500,=(0.556-2.5758\sqrt{\dfrac{0.556(1-0.556)}{500}},

0.556+2.57580.556p(10.556)500)0.556+2.5758\sqrt{\dfrac{0.556{p}(1-0.556)}{500}})

=(0.499,0.613)=(0.499, 0.613)

Therefore, based on the data provided, the 99% confidence interval for the population proportion is 0.499<p<0.613,0.499<p<0.613, which indicates that we are 99% confident that the true population proportion pp is contained by the interval (0.499,0.613).(0.499, 0.613).



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