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An investment analyst collected data on a broad based portfolio of assets from a randomsample 0 f 9 months. The data are as follows: \( \begin{array}{lllllllll}0 \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 4 & 4 & 4 & 5 & 5 & 6 & 7 & 7 & 8\end{array} \) The \( 64^{\text {th }} \) percentile is (round off final answer to 3 decimal places): Answer

Ask by Hanson Craig. in South Africa
Mar 14,2025

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The 64th percentile is 4.000.

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The Deep Dive

To find the \(64^{\text{th}}\) percentile of the given data set, we first need to organize the data in ascending order, which is: \(0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 5, 5, 6, 7, 7, 8\) Now, we have 18 data points. To find the position of the \(64^{\text{th}}\) percentile, we use the formula: \[ P = \frac{n}{100} \times k \] where \(n\) is the number of data points and \(k\) is the percentile we want, which in this case is 64. \[ P = \frac{18}{100} \times 64 = 11.52 \] Since we cannot have a decimal index, we round \(11.52\) to the next integer, so we will look for the value at position \(12\) in our ordered list. The \(12^{th}\) element in our ordered data set is \(5\). Therefore, the \(64^{\text{th}}\) percentile is: **5.000** (rounded to three decimal places).

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