Question

fill in the blank so that the resulting statement is true. if a statistic is obtained from a random sample of size n, there is a 95% probability that it lies within \\( \frac { 1 } { \sqrt { n } } \times 100 \\% \\) of the true population percent, where \\( \pm \frac { 1 } { \sqrt { n } } \times 100 \\% \\) is called the ____. if a statistic is obtained from a random sample of size n, there is a 95% probability that it lies within \\( \frac { 1 } { \sqrt { n } } \times 100 \\% \\), of the true population percent, where \\( \pm \frac { 1 } { \sqrt { n } } \times 100 \\% \\) is called the

Explanation:

In statistics, when dealing with sampling, the margin of error represents the maximum expected difference between a sample statistic and the true population parameter. Here, the formula $\pm\frac{1}{\sqrt{n}}\times100\%$ (for a $95\%$ probability in a simple - random - sample context) is a common form of the margin of error formula.

Answer:

margin of error