Basic Statistics Flashcards

1
Q

Nominal Scale

A

Observations are placed in one category or another. Can create frequency tables but cannot do any other maths.

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2
Q

Ordinal Scale

A

Allows scores to be ranked, but there is no indication of differences between the ranks.

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3
Q

Interval Scale

A

Scores can be ranked and there are equal intervals between each rank.

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4
Q

Ratio Scale

A

Scores are ranked, have equal intervals and there is an absolute zero point.

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5
Q

Measures of Central Tendency

A

Mean (average), median (middle score) and mode (most common score). Mean is most useful.

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6
Q

Measures of Variability

A

Range (spread of scores), average deviation (sum of difference between each score and the mean divided by n) and standard deviation (square root of the variance). SD is most useful.

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7
Q

Skewness

A

Whether most scores fall towards the high end (negative) or low end (positive) of the distribution.

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8
Q

Kurtosis

A

The steepness of the curve. Platykurtic - flat curve, Leptokurtic - peaked curve, Mesokurtic - normal curve.

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9
Q

Normal Distribution

A

Theoretical bell-shaped curve where the mean, median and mode are equal.

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10
Q

Standard Scores

A

Raw scores that have been adjusted from one scale to another to fit a normal distribution (z-scores, t-scores, stanines)

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11
Q

Norms

A

Performances defined by groups (age, education etc) on a test that are then used to standardise a test. Compare results on a test to the standardised scores gained from the normative sample.

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12
Q

Correlation

A

Expression of the strength and direction of the relationship between two variables.

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13
Q

Regression

A

Analysis of the relationship between two or more variables for the purpose of understanding how one variable can predict another.

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