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

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Q: What is a measure of the spread of a set of data?
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Related questions

What does the IQR tell you about a data set?

It gives a measure of the spread of the data.


What is meant by the standard deviation of a data set?

It is a measure of the spread of the data around its mean value.


What does a large MAD tell you about a set of data?

It gives a measure of the spread of the data.you


What does the mean absolute deviation tell you about a set of data?

It is a measure of the spread or dispersion of the data.


What is the standard deviation?

The standard deviation of a set of data is a measure of the spread of the observations. It is the square root of the mean squared deviations from the mean of the data.


What does the normal allow you to measure?

The normal distribution allows you to measure the distribution of a set of data points. It helps to determine the average (mean) of the data and how spread out the data is (standard deviation). By using the normal distribution, you can make predictions about the likelihood of certain values occurring within the data set.


What is the Formula for Vars?

The formula for calculating variance (Var) is the average of the squared differences between each data point and the mean of the data set. It is used to measure the dispersion or spread of a set of data points around the mean.


Which measure best describes the data set?

which measure best describes the data set


When you subtract the highest data point from the lowest data point?

When you subtract the highest data point from the lowest data point, you are finding the range of the data set. Range provides a measure of how spread out the values in the data set are.


What are the advantages of Range of data?

It is a very easily calculated measure of the spread of data.


What Describes how spread out a data set is?

spreadsheet


What does interquartile range do?

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.