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Briefly describe how the percentiles are calculated for a data set.

Short Answer

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Percentiles in a data set are calculated by first arranging the data in ascending order. The rank is then computed using the formula \( R = P/100 * (N + 1) \), where \( P \) is the desired percentile and \( N \) is the total number of elements in the set. If the rank is not an integer, the percentile value is calculated by interpolating between the two values at the indices obtained by rounding the rank up and down. If the rank is an integer, the percentile is the value at that rank.

Step by step solution

01

Arrange the Data in Ascending Order

To begin with, arrange the data points in your set in increasing order. This means, the smallest value first and the largest value last. For example, if you have the data points \( [7, 15, 3, 9] \), the sorted data set would look like \( [3, 7, 9, 15] \). This step is crucial as it aids in determining the position of a value in the set more clearly.
02

Compute the Rank

After sorting the data, you need to compute the 'Rank'. The Rank identifies the place of a data point in the data set. It is calculated using the formula: \( R = P/100 * (N + 1) \), where \( P \) is the desired percentile and \( N \) is the total number of data in your set. For instance, if you want to calculate the 30th percentile for a data set containing 10 points, the rank will be \( R = 30/100 * (10 + 1) = 3.3 \).
03

Find the Percentile

Finally, to find the percentile of your desired rank, if the rank is not an integer, round it down to get the index of the first value (lets call it \( V1 \)), and round it up to get the index of the second value (call it \( V2 \)). The percentile is then found by interpolating between \( V1 \) and \( V2 \). If the rank is an integer, the percentile is the value at that rank. For example, based on the computed rank from the previous step, our V1 is the value at index 3 and V2 is the value at index 4. To get the 30th percentile, we interpolate between the two: \( 30th percentile = V1 + (R - floor(R)) * (V2 - V1) \). This gives us the value of the 30th percentile.

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