measure of variation Flashcards

1
Q

What is variation?

A

variation is the width of distribution of your data set. There are different measures of variation- range, interquartile range, variance and standard deviation.

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2
Q

What is the range?

A

The range is the simplest measure of variation. It is largest to smallest. It is only based on 2 extreme points, and prone to bias outliners. The greater your sample size, the more likely to sample larger range.

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3
Q

What is the interquartile range?

A

This is the middle half of your data. Data is split into quarters from the median. Q1 is the lower 25%, and Q3 Is the higher 25% of your data. IQR is the difference between Q3 and Q1. To find the IQR, you have to fins the median value, split the data into 2 groups, lower and upper, and find the median of the lower and upper half, and then minus the lower half from the upper half.

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4
Q

What is the percentile range?

A

You can see other percentiles to measure variability. The range between 40th and 60th percentile, will cover 20% of your data, the range between the 10th and 90th will cover 80% of your data. Like the range, the broader the percentiles, the higher the variability.

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5
Q

How do you calculate deviance?

A

If the deviant is positive, the observation is bigger than the mean.
If the deviant is negative, the observation is smaller than the mean.
The sum of deviations is always =0. Positive values must be balanced with the negative.

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6
Q

Why is using variance better than using the range?

A

Usually better to measure variability than range. Both describe the typical distance of how far data falls, or deviates from the mean. Deviation of an observation- different between the observation and the sample mean.

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7
Q

What is variance?

A

The average of the squares of deviations from the mean. Then work out the total sum of the squares, divide by n-1.

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8
Q

What is standard deviation?

A

The square root of the variance. The larger the standard deviation, the greater the variability in the data.
The sum of squares: total of x-xbar, divide by n-1, and square root this value.

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