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The standard deviation of height in the US population is approximately 3 inches.

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AnswerBot

7mo ago

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US IQ Standard deviation?

US IQ standard Deviation is 16.


What does the standard deviation tell us about the mean?

The standard deviation tells us nothing about the mean.


What is the importance of the standard deviation?

It allows you to understand, or comprehend the average fluctuation to the average. example: the average height for adult men in the United States is about 70", with a standard deviation of around 3". This means that most men (about 68%, assuming a normal distribution) have a height within 3" of the mean (67"- 73"), one standard deviation, and almost all men (about 95%) have a height within 6" of the mean (64"-76"), two standard deviations. In summation standard deviation allows us to see the 'average' as a whole.


What is the standard deviation of the us presidents' age?

44.9


What does the standard deviation tell us?

standard deviation is the square roots of variance, a measure of spread or variability of data . it is given by (variance)^1/2


What does standard deviation show us about a set of scores?

Standard Deviation tells you how spread out the set of scores are with respects to the mean. It measures the variability of the data. A small standard deviation implies that the data is close to the mean/average (+ or - a small range); the larger the standard deviation the more dispersed the data is from the mean.


What percent of a normal population is within 2 standard deviations of the mean?

In a normal distribution, approximately 95% of the population falls within 2 standard deviations of the mean. This is known as the 95% rule or the empirical rule. The empirical rule states that within one standard deviation of the mean, about 68% of the population falls, and within two standard deviations, about 95% of the population falls.


What does the number from the standard deviation tell us?

the variation of a set of numbrs


What does standard deviation tell us about the data?

Standard deviation measures the dispersion or variability of a dataset by quantifying how much individual data points deviate from the mean. A low standard deviation indicates that the data points are clustered closely around the mean, while a high standard deviation signifies that they are spread out over a wider range. This statistic helps in understanding the consistency of the data and is crucial for interpreting the reliability of statistical analyses.


Why is standard deviation used?

It gives us an idea how far away we are from the center of a normal distribution.


What does a large standard deviation tell us?

It means that the data are spread out around their central value.


What can a standard deviation tell us about the usefulness of the mean?

Standard deviation measures the dispersion or variability of data points around the mean. A low standard deviation indicates that the data points are closely clustered around the mean, suggesting that the mean is a reliable representation of the dataset. Conversely, a high standard deviation signifies greater variability, which may diminish the mean’s usefulness as a summary statistic, as it may not accurately reflect the data's central tendency. Thus, understanding standard deviation helps assess how well the mean represents the underlying data.