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Name: ___Date: ___ Box and Whisker Plots NYS Regents Exam Question from 2007 Aug 2014n ___Minimum (Min) ___Quartile 1 (Q1) ___Quartile 2 (Q2) or Median ___Quartile 3 (Q3) ___Maximum (Max) ___Range
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01
To fill out the interquartile range (IQR), follow these steps:
02
Start by arranging the data in ascending order.
03
Find the lower quartile (Q1), which is the median of the lower half of the data.
04
Find the upper quartile (Q3), which is the median of the upper half of the data.
05
Calculate the IQR by subtracting Q1 from Q3.

Who needs interquartile range iqr what?

01
Interquartile range (IQR) is a statistical measure that is useful for anyone analyzing data with outliers or extreme values. It is often used in data analysis, market research, and quality control to measure the spread or dispersion of a dataset while minimizing the influence of outliers. Researchers, statisticians, analysts, and professionals from various fields utilize IQR to understand the variability of data and make informed decisions.

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The interquartile range (IQR) is a statistical measure that represents the range within which the middle 50% of a dataset falls, calculated as the difference between the third quartile (Q3) and the first quartile (Q1).
Organizations and institutions that collect and report statistical data, particularly in research, education, and public health, may be required to file reports that include the interquartile range to provide insight into the distribution of their data.
To fill out information regarding the interquartile range, identify the first quartile (Q1) and third quartile (Q3) of your dataset, then calculate the IQR by subtracting Q1 from Q3, and present this value in the appropriate reporting format.
The purpose of the interquartile range is to measure statistical dispersion and assess the spread of the middle half of a data set, which helps in identifying outliers and understanding data variability.
The report on interquartile range should include the first quartile (Q1), third quartile (Q3), and the calculated IQR value, along with any relevant context about the data set being analyzed.
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