Lets' Try! Which data set has a wider spread? a. 2, 3, 3, 4, 5, 6, 8 25th Percentile (Q,) = 3 Semi-interquartile Range = -2)= 1.5 75th Percentile (Q) = 6 2 b. 1, 3, 3, 4, 6, 7, 8, 8 25th Percentile (Q1) = Semi-interquartile Range = 75th Percentile (Q) =
Lets' Try! Which data set has a wider spread? a. 2, 3, 3, 4, 5, 6, 8 25th Percentile (Q,) = 3 Semi-interquartile Range = -2)= 1.5 75th Percentile (Q) = 6 2 b. 1, 3, 3, 4, 6, 7, 8, 8 25th Percentile (Q1) = Semi-interquartile Range = 75th Percentile (Q) =
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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
Transcribed Image Text:**Let's Try!**
**Which data set has a wider spread?**
a. 2, 3, 3, 4, 5, 6, 8
- 25th Percentile (\(Q_1\)) = 3
- 75th Percentile (\(Q_3\)) = 6
- Semi-interquartile Range = \(\frac{6 - 3}{2} = 1.5\)
b. 1, 3, 3, 4, 6, 7, 8
- 25th Percentile (\(Q_1\)) = ______
- 75th Percentile (\(Q_3\)) = ______
- Semi-interquartile Range = \(\frac{ \: \_ \: - \: \_ \:}{2} = \_\_\_\_\)
**Explanation of Diagrams:**
There are two boxes that display the calculation of the semi-interquartile range. The values used for \(Q_1\) and \(Q_3\) are substituted into the formula \(\frac{Q_3 - Q_1}{2}\), with the first data set's result given as 1.5. The second data set has placeholders for the calculations.
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