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It gives a better picture of data collected because the data is not so spread out.
Outliers
The Inter-quartile range is the range of the middle half of the data. It is the difference between the upper and lower quartile.Example: 35,80,100 110,120,120,170,180.The Inter-quartile range would be 145-90 or 55To find the interquartile range, you:1) Arrange the data in numerical order.2) Then find the median of the data sets.3) Find the median of the top half and bottom half. (of the set of numbers)4) The groups you now have are "quartiles"5) Find the interquartile range. (subtract the smaller range from the range)
No, interquartile range cannot be for any data. The lower quartile for data must be used below the lower quartile.
The standard deviation is the value most used. Others are variance, interquartile range, or range.
how do you find the interquartile range of this data
The interquartile range of a set of data is the difference between the upper quartile and lower quartile.
The interquartile range is the upper quartile (75th percentile) minus (-) the lower percentile (75th percentile). The interquartile range uses 50% of the data. It is a measure of the "central tendency" just like the standard deviation. A small interquartile range means that most of the values lie close to each other.
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It gives a better picture of data collected because the data is not so spread out.
Outliers
The Inter-quartile range is the range of the middle half of the data. It is the difference between the upper and lower quartile.Example: 35,80,100 110,120,120,170,180.The Inter-quartile range would be 145-90 or 55To find the interquartile range, you:1) Arrange the data in numerical order.2) Then find the median of the data sets.3) Find the median of the top half and bottom half. (of the set of numbers)4) The groups you now have are "quartiles"5) Find the interquartile range. (subtract the smaller range from the range)
An interquartile range is a measurement of dispersion about the mean. The lower the IQR, the more the data is bunched up around the mean. It's calculated by subtracting Q1 from Q3.
No, interquartile range cannot be for any data. The lower quartile for data must be used below the lower quartile.
The standard deviation is the value most used. Others are variance, interquartile range, or range.
If your data range is a1:a10 then the interquantile range equation is =percentile(a1:a10,0.75)-percentile(a1:a10,0.25)