Descriptive Statistics (Measures of Central Tendency and Shapes of Distribution) Flashcards

1
Q

typical or most representative value of a group of scores; Mean, Median, Mode

A

Central Tendency

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2
Q

arithmetic average of a group of scores; sum of the scores divided by the number of scores; the balance point of a distribution

A

Mean (M)

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3
Q

μ

A

population mean

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4
Q

M

A

sample mean

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5
Q

an average in which each observation in the data set is assigned or multiplied by a weight before summing to a single average value

A

Weighted Mean

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6
Q

Characteristics of the Mean

A
  1. Changing a score in the distribution can affect the value of the mean
  2. Introducing a new score or removing a score can affect the value of the mean.
  3. Adding or subtracting a constant from each score will change the value of the mean.
  4. Multiplying or dividing each score by a constant will change the value of the mean
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7
Q

When to use the Mean?

A
  1. quantitative research, especially in psychological studies
  2. approximately normally distributed data
  3. with equal-interval variables: (Continuous Data/Variable &
    Interval/Ratio)
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8
Q

middle score when all the scores in a distribution are arranged from lowest to highest

A

Median (Mdn)

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9
Q

When to use the Median?

A
  1. with rank-ordered variables
  2. non-normal or skewed distributions
  3. when a distribution has one or more outliers
  4. rarely used in psychology research
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10
Q

score with an extreme (very high or very low) in relation to the other scores in the distribution.

A

outliers

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11
Q

value with the greatest frequency in the distribution

A

mode

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12
Q

When to use the Mode?

A
  1. with categorical variables (nominal)
  2. rarely used in psychology research
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13
Q

frequency distribution with one value clearly having a larger frequency than any other

A

Unimodal Distribution

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14
Q

frequency distribution with two approximately equal frequencies, each clearly larger than any the others

A

Bimodal Distribution

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15
Q

frequency distribution with two or more high frequencies separated by a lower frequency

A

Multimodal Distribution

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16
Q

frequency distribution in which all values have approximately the same frequency

A

Rectangular Distribution

17
Q

distribution in which the pattern of frequencies on the left and right side are mirror images of each other

A

Symmetrical Distribution

18
Q

distribution in which the scores pile up on one side of the middle and are spread out on the other side; distribution that is not symmetrical

A

Skewed Distribution

19
Q

the peak (highest frequency) in the distribution is on the left-hand side with tail tapering off the right

A

Positively Skewed Distribution

20
Q

a situation in which many scores pile up at the low end of a distribution (creating a skewness to the right) because it is not possible to have any lower score.

A

Floor Effect

21
Q

the peak (highest frequency) in the distribution is on the right-hand side with the tail tapering of the left

A

Negatively Skewed Distribution

22
Q

a situation in which many scores pile up at the high end of a distribution (creating a skewness to the left) because it is not possible to have a higher score.

A

Ceiling Effect

23
Q

specific, mathematically defined, bell-shaped frequency distribution that is symmetrical and unimodal; distributions observed in nature and in research commonly approximates it

A

Normal Curve

24
Q

extent to which a frequency distribution deviates from a normal curve in terms of whether its curve in the middle is more peaked or flat than the normal curve.

A

Kurtosis

25
Q

the scores are concentrated towards the mean

A

Leptokurtic

26
Q

normal curve

A

Mesokurtic

27
Q

the scores have an extremely large deviation from the mean

A

Platykurtic