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Q: Which method can be used to find the interquartile range for a set of data?
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How do you find the interquartile range in a set of data?

how do you find the interquartile range of this data


How do you find the interquartile range of a data?

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)


Can interquartile range be used for any data eg data below the lower quartile to find if the data is spread out or close together or must we use the lower quartile for data below the lower quartile?

No, interquartile range cannot be for any data. The lower quartile for data must be used below the lower quartile.


Does a box plot represent an interquartile range?

If presents you with the upper and lower quartile range, although you have to do calculations in order to find the interquartile range, so no, it does not,


What is the semi interquartile range?

The semi interquartile range is a measure for spread or dispersion. To find it you have to subtract the first quartile from Q3 and divide that by 2, (Q3 - Q1)/2


What is best Interquartile range or Median absolute deviation?

The answer depends on the purpose. The interquartile range and the median absolute deviation are both measures of spread. The IQR is quick and easy to find whereas the MAD is not.


How do you find the semi interquartile range of a set of statistics?

You find the semi interquartile range by subtracting the 25th percentile (Q1) from the 75th (Q3) percentile and dividing by 2. So, the formula looks like : (Q3 - Q1)/2


How is the interquartile range calculated?

Find the difference between the values for quartile 3 and quartile 1.


How is interquartile range calculated?

Find the difference between the values for quartile 3 and quartile 1.


Why do you multiply the interquartile range by 1.5 to find the outlier?

By definition a quarter of the observations are below the lower quartile and a quarter are above the upper quartile. In all, therefore, half the observations lie outside the interquartile range. Many of these will be more than the inter-quartile range (IQR) away from the median (or mean) and they cannot all be outliers. So you take a larger multiple (1.5 times) of the interquartile range as the boudary for outliers.


How can you find the interquartile in a stem and leaf plot?

The range is the difference between the maximum score and the minimum score. Let's look at an example. [Figure2] The smallest number in the stem-and-leaf plot is 22. You can see that by looking at the first stem and the first leaf. The greatest number is the last stem and the last leaf on the chart. In this case, the largest number is 55. To find the range, subtract the smallest number from the largest number. This difference will give you the range. 55 - 22 = 33 The range is 33 for this set of data.


How do you find the inter quartile?

interquartile range is upper quartile (or quartile 3) minus lower quartial ( or quartial 1 ) For example the quartile 3 is 165 and the quartile 1 is 125. The interquartile range is 40. You can go online and see pages. Thank you