Critical numbers 3- summary statistics II Flashcards

1
Q

distribution

A

shape pof the data distribution

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2
Q

central tendency

A

average or typical values

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3
Q

dispersion

A

how spread out data are around these values

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4
Q

range

A

min and max observed values

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5
Q

Key things looking for when summarising numerical data:

A

distribution, central tendency, dispersion, range

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6
Q

features of normal distribution

A

bell shaped curve, mean = median

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7
Q

features of positive skew

A

skewed to right skew (tail on right hand side), mean is higher than median

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8
Q

features of negative skew

A

skewed to left skew (tail on left hand side), mean is lower than median

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9
Q

parametric vs non-parametric

A

parametric- make distributional assumptions
non-parametric- make no assumptions (distribution free)

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10
Q

sd rule- 1, 2, 3 sd

A

68- 1 sd
95- 2 sd (anything higher than this viewed as abnormal)
99.7 - 3sd

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11
Q

correlation

A

measure of linear association between 2 variables, between 1 and -1, 0 describes linear relationships (not just no correlation)

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