Stats Refresher Flashcards

1
Q

Describes the amount of variation in a distribution.

A

Measures of variability

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2
Q

Indicates how the scores in a distribution are scattered.

A

Variability

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3
Q

Difference between the highest and the lowest scores in a distribution.

A

Range

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4
Q

3 values that divide the set into four equal parts.

A

Quartile range

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5
Q

Difference between the upper and lower quartile.

A

Interquartile range

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6
Q

Measures variability equal to the square root of the average square deviations of the mean

A

SD

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7
Q

Arithmetic mean of the squares of the difference between scores and their mean in a distribution.

A

Variance

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8
Q

The distribution has a single peak.

A

Unimodal

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9
Q

Indicates how the measurements in a distribution are distributed.

A

Skewness

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10
Q

Score distribution is concentrated in the high end.

A

Negative skewed distribution

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11
Q

Score distribution is concentrated in the low end.

A

Positive skewed distribution

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12
Q

A statistical measure that defines how heavy the tail of a distribution and the peak of a frequency distribution.

A

Kurtosis

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13
Q

Distribution that follows a normal distribution.

A

Mesokurtic

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14
Q

Sharp peak with heavy tails distribution.

A

Leptopkurtic

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15
Q

Flat peak with lighter tail distribution.

A

Platykurtic

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16
Q

Standard deviation: empirical rule.

A

68-95-99.7% rule

17
Q

Construction of assessment tools.

A

Psychometrics

18
Q

People involved with the development of the methods of assessment.

A

Test developer

19
Q

Uses the assessments and tools for various purposes.

A

Test user

20
Q

Individuals whom the assessment tools were administered to.

A

Test taker

21
Q

Consistency of the psychological measurements.

A

Reliability

22
Q

Accuracy of the psychological measurements.

A

Validity