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The range, inter-quartile range (IQR), mean absolute deviation [from the mean], variance and standard deviation are some of the many measures of variability.

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The pattern of variability - as opposed to variability itself - is termed skedasticity.

Q: What is the pattern of a variability within a data set called?

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Perhaps the data that you are given.

It tells you how much variability there is in the data. A small standard deviation (SD) shows that the data are all very close to the mean whereas a large SD indicates a lot of variability around the mean. Of course, the variability, as measured by the SD, can be reduced simply by using a larger measurement scale!

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Sets of data have many characteristics. The central location (mean, median) is one measure. But you can have different data sets with the same mean. So a measure of dispersion is used to determine whether there is a little or a lot of variability within the set. Sometimes it is necessary to look at higher order measures like the skewness, kurtosis.

In a small data set, the range. However, I would not like to try and find the range for the volume of rain drops, or the size of sand grains!

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The IQR gives the range of the middle half of the data and, in that respect, it is a measure of the variability of the data.

the whole question is that The data is not perfectly linear. Identify at least 2 sources of variability in this data AND explain the effect of each? Sources of variability = outlier???? so do I just need to indicate where the outliers are???

It means that there is little variability in the data set.

Perhaps the data that you are given.

Variability is an indicationof how widely spread or closely clustered the data valuesnare. Range, minimum and maximum values, and clusters in the distribution give some indication of variability.

Barry

It tells you how much variability there is in the data. A small standard deviation (SD) shows that the data are all very close to the mean whereas a large SD indicates a lot of variability around the mean. Of course, the variability, as measured by the SD, can be reduced simply by using a larger measurement scale!

Yes.

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The answer depends on the variability of the characteristic that is being measured.

Point diversity refers to the variety of different data points within a dataset or a specific location. It measures the range or distribution of values represented by individual data points. Point diversity can provide insights into the heterogeneity or variability of data.

sensitivity analysis