Math and Arithmetic

Statistics

001

The interquartile range of a set of data is the difference between the upper quartile and lower quartile.

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)

The standard deviation is the value most used. Others are variance, interquartile range, or range.

It tells you that middle half the observations lie within the IQR.

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

When you are presented with a set of data and you need to find the range, you must subtract the lowest number in your data set from the highest number in the data set provided. For example, you are presented with this data set and you must find the range of the data. 34, 82, 43, 13, 14 You have to subtract the lowest number (13) from the highest number (82) so the range of this data set is 69. If you want to find the range you look at your data. Then you find the maximum number and the minimum and you subtract the two. Then you have your range.

Here is one pair: {1, 2, 3, 6, 7} and {1, 2, 5, 6, 7} The fact that the range and interquartile range are the same fixes the relative positions four points in each set - all but the median.

Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.

It is a measure of the spread of a set of observations. It is easy to calculate and is not distorted by extreme values (or mistakes). On the other hand it does not use all of the information contained in the data set.

The interquartile range can be more useful when the first and fourth quartiles contain very little data, in other words there are only a very few high or low data points.

You subtract the smallest data point from the largest data point in the set. The result is the range.

No. The IQR is found by finding the lower quartile, then the upper quartile. You then minus the lower quartile value from the upper quartile value (hence "interquartile"). This gives you the IQR.

If a set of data are ordered by size, then the lower quartile is a value such that a quarter of the data are smaller than it. The upper quartile is a value such that a quarter of the data are larger than it. Interquartile means between the quartiles.

Iqr stands for inter quartile range and it is used to find the middle of the quartiles in a set of data. To find this, you find the lower quartile range and the upper quartile range, and divide them both together.

Find the smallest and the largest values/numbers. These form the range.

Range is the biggest number in a set of data subtracted by the smallest number in that set of data.

Subtract the smallest number in the set from the largest number in the set.

When given a set of data values, the range is found by subtracting the lowest value from the highest value of this set. The data values given in set should be arranged in order from the lowest to the highest value before finding the range.

Range: the range of a data set is the difference between the largest and smallest number in your set of data. To find it, just subtract the smallest number from the largest number in your data set. That is now going to be your range.Example: 23, 40, 62, 90, 35, 89, 67. Subtract 90-23 and you should get 67. Therefore, 67 is your range.

The range is the size of the set of data. Take the smallest from the largest value to get the range.

Take the smallest value and subtract it from the largest value and that is the range.

The range = the difference between the highest and the lowest values in the data set. For example if I had a data set like this: 10, 20, 30, 40, 50 50 is the highest number and 10 is the lowest number. 50-10= 40. 40= the range of the above data set.

range = maximum value of your data set - minimum value of your data set.

Subtract the smallest number from the largest one.

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