Chapter 5: Data Organization and Descriptive Statistics Flashcards

1
Q

Measures of Central Tendency: definition and examples

A

Numbers that characterize the “middleness, centralness, averageness, or typicality” of a distribution of scores; mean, median, and mode

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2
Q

Measures of Variation: definition and examples

A

Numbers that characterize the extent to which the scores in a distribution deviate from the middle/central/average/typical score; range, average deviation, standard deviation, variance

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3
Q

What is variance?

A

The “mean squared error”

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4
Q

What is standard deviation?

A

The square root of the variance, also called the “root mean squared error”

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5
Q

What are the different characterizations for distributions? (NKS)

A

Normality- normal or non-normal, Kurtosis- how arched the distribution curve is, Skewness- skewed are non-normal, normal is not skewed

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