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The Probability Distribution Shown Below Describes a Population of Measurements x591317p(x)14141414\begin{array}{c|cccc}\hline x & 5 & 9 & 13 & 17 \\\hline p(x) & \frac{1}{4} & \frac{1}{4} & \frac{1}{4} & \frac{1}{4} \\\hline\end{array}

question 35

Essay

The probability distribution shown below describes a population of measurements that can assume values of 5, 9, 13, and 17, each of which occurs with the same frequency:

x591317p(x)14141414\begin{array}{c|cccc}\hline x & 5 & 9 & 13 & 17 \\\hline p(x) & \frac{1}{4} & \frac{1}{4} & \frac{1}{4} & \frac{1}{4} \\\hline\end{array}

Find E(x)=μE ( x ) = \mu . Then consider taking samples of n=2n = 2 measurements and calculating xˉ\bar { x } for each sample. Find the expected value, E(xˉ)E ( \bar { x } ) , of xˉ\bar { x } .


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The total assets of an entity minus its total liabilities, indicating the entity’s net worth or equity.

Common Stock

Equity securities that represent ownership interests in a corporation, providing voting rights and entitling the holder to a share of the company's success through dividends and/or capital appreciation.

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An accounting principle that dictates the conditions under which expenses are recognized and reported in financial statements.

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