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Q: What is the measure of the spread of data to the mean?
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What does the standard error mean?

For a sample of data it is a measure of the spread of the observations about their mean value.


What are the advantages of Range of data?

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


Which is the most accurate of mode mean median and range?

Accuracy depends on what you are trying to measure.As a measure of central tendency, the range is totally useless because it is not a measure of central tendency. As a measure of spread (dispersion), it is the most accurate because it is the only one that measures spread: the other threee are totally useless.With nominal data, the median and mean are not defined and so cannot be accurate.And so on.Accuracy depends on what you are trying to measure.As a measure of central tendency, the range is totally useless because it is not a measure of central tendency. As a measure of spread (dispersion), it is the most accurate because it is the only one that measures spread: the other threee are totally useless.With nominal data, the median and mean are not defined and so cannot be accurate.And so on.Accuracy depends on what you are trying to measure.As a measure of central tendency, the range is totally useless because it is not a measure of central tendency. As a measure of spread (dispersion), it is the most accurate because it is the only one that measures spread: the other threee are totally useless.With nominal data, the median and mean are not defined and so cannot be accurate.And so on.Accuracy depends on what you are trying to measure.As a measure of central tendency, the range is totally useless because it is not a measure of central tendency. As a measure of spread (dispersion), it is the most accurate because it is the only one that measures spread: the other threee are totally useless.With nominal data, the median and mean are not defined and so cannot be accurate.And so on.


Why is the mean a measure of the center of the data?

mean does not mean the center of the data


HOW are quartiles helpful in describing data?

They are a simple measure of the spread of the data, which is not affected by extreme values.

Related questions

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 the standard error mean?

For a sample of data it is a measure of the spread of the observations about their mean value.


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.


Does the value of the standard deviation depend on the value of the mean?

The standard deviation is a measure of the spread of data about the mean. Although it is essentially a measure of the spread, the fact that it is the spread ABOUT THE MEAN that is being measured means that it does depend on the value of the mean. However, the SD is not affected by a translation of the data. What that means is that if I add any fixed number to each data point, the mean will increase by that number, but the SD will be unchanged.


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 IQR tell you about a data set?

It gives a measure of the spread of the data.


What are the advantages of Range of data?

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


Can a standard deviation be less than 1?

Yes. Standard deviation depends entirely upon the distribution; it is a measure of how spread out it is (ie how far from the mean "on average" the data is): the larger it is the more spread out it is, the smaller the less spread out. If every data point was the mean, the standard deviation would be zero!


Why is mean a measure of the center of the data?

mean does not mean the center of the data


Why is the mean a measure of the center of the data?

mean does not mean the center of the data


HOW are quartiles helpful in describing data?

They are a simple measure of the spread of the data, which is not affected by extreme values.


Which is the most accurate of mode mean median and range?

Accuracy depends on what you are trying to measure.As a measure of central tendency, the range is totally useless because it is not a measure of central tendency. As a measure of spread (dispersion), it is the most accurate because it is the only one that measures spread: the other threee are totally useless.With nominal data, the median and mean are not defined and so cannot be accurate.And so on.Accuracy depends on what you are trying to measure.As a measure of central tendency, the range is totally useless because it is not a measure of central tendency. As a measure of spread (dispersion), it is the most accurate because it is the only one that measures spread: the other threee are totally useless.With nominal data, the median and mean are not defined and so cannot be accurate.And so on.Accuracy depends on what you are trying to measure.As a measure of central tendency, the range is totally useless because it is not a measure of central tendency. As a measure of spread (dispersion), it is the most accurate because it is the only one that measures spread: the other threee are totally useless.With nominal data, the median and mean are not defined and so cannot be accurate.And so on.Accuracy depends on what you are trying to measure.As a measure of central tendency, the range is totally useless because it is not a measure of central tendency. As a measure of spread (dispersion), it is the most accurate because it is the only one that measures spread: the other threee are totally useless.With nominal data, the median and mean are not defined and so cannot be accurate.And so on.