Question #51424

Assume that the population proportion is 0.80

1. Compute the standard error of the sample proportion for a sample size of 1600.

2. ompute the standard error of the sample proportion for a sample size of 10.
1

Expert's answer

2015-03-19T09:42:41-0400

Answer on Question #51424 – Math – Statistics and Probability

Assume that the population proportion is 0.80.

1. Compute the standard error of the sample proportion for a sample size of 1600.

2. Compute the standard error of the sample proportion for a sample size of 10.

Solution

1. In given problem we have the following data, p^=0.80,n=1600\hat{p} = 0.80, n = 1600. In order to determine the standard error of the sample proportion we apply the following formula:


SEp=p^(1p^)n\mathrm{SE}_\mathrm{p} = \sqrt{\frac{\hat{p}(1 - \hat{p})}{n}}


Substitute all values into the above formula:


SEp=0.8(10.8)1600=0.80.21600=0.01\mathrm{SE}_\mathrm{p} = \sqrt{\frac{0.8(1 - 0.8)}{1600}} = \sqrt{\frac{0.8 \cdot 0.2}{1600}} = 0.01


Thus, the standard error of the sample proportion for a sample size is equal to 0.01.

2. In given problem we have the following data, p^=0.80,n=10\hat{p} = 0.80, n = 10. In order to determine the standard error of the sample proportion we apply the same formula for calculation.


SEp=p^(1p^)n\mathrm{SE}_\mathrm{p} = \sqrt{\frac{\hat{p}(1 - \hat{p})}{n}}


Substitute into the formula noted above values.


SEp=0.8(10.8)10=0.80.210=0.1265\mathrm{SE}_\mathrm{p} = \sqrt{\frac{0.8(1 - 0.8)}{10}} = \sqrt{\frac{0.8 \cdot 0.2}{10}} = 0.1265


Thus, the standard error of the sample proportion for a sample size is equal to 0.127.

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