Descriptive stats: width Flashcards

1
Q

What are the 5 descriptive stats for width?

A

Range, interquartile range, boxplots, standard deviation, variance

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2
Q

What is range?

A

The difference between the maximum measurement value and the minimum

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3
Q

Why is range not a good estimation of distribution width?

A

Sample range is biased. A smaller sample gives a lower estimate about the range

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4
Q

What would we report instead of range?

A

Maximum and minimum

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5
Q

What is the interquartile range?

A

Range between the 1st and 3rd quartile in the range, between the 25th and 75th percentile

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6
Q

What is included in a boxplot?

A

Median, interquartile range, the majority of the data, and any outliers

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7
Q

How are outliers calculated in a boxplot?

A

Any value that is outside 1.5 times the interquartile range

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8
Q

Why would we use a boxplot?

A

Better representation of the variation in asymmetric distributions

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9
Q

Why shouldn’t we use a histogram on asymmetric data?

A

Standard deviation isn’t a good representation of variability, and can’t see outliers

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10
Q

What are the whiskers on a box plot?

A

Show the max and min

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11
Q

What are the boundaries of the box in a box plot?

A

The interquartile range

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12
Q

What is variance?

A

The measure of the spread from which we calculate standard deviation

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13
Q

Why do we typically use standard deviation over variance?

A

SD is a little more intuitive since its in the same units as the mean

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14
Q

What is standard deviation?

A

A common measure of how far from the mean from the observations will typically be

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15
Q

What does it mean if standard deviation is large?

A

Most observations are far from the mean

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16
Q

What does it mean if standard deviation is small?

A

Most observations are close to the mean

17
Q

What connection does standard deviation have to a normal distribution?

A

Mean ± 1 SD will always contain ~67% of the data, and ± 2 SD will always contain ~95% of the data

18
Q

Why is standard deviation not a good measurement for skewed data? What should we use instead?

A

It’s even more sensitive to extreme values than the mean is. Better to use the IQR