Stats Refresher Flashcards

1
Q

Most commonly used measure of central tendency

A

Arithmetic mean

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2
Q

Tool that could be used to describe the amount of variability in a distribution

A

Average deviation

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3
Q

Numbers indicated of frequency also appear on the y-axis, and reference to some categorization appears on the x-axis

A

Bar graph

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4
Q

Two scores that occur with the highest frequency

A

Bimodal distribution

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5
Q

Joint probability distribution of two variables

A

Bivariate distribution

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6
Q

Indication of how much variances is shared by the X - and the Y -variables.

A

Coefficient of determination

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7
Q

Expression of the degree and direction of correspondence between two things

A

Correlation

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8
Q

Refers to an “eyeball gauge” of how curve the graph is

A

Curvilinearity

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9
Q

Set of test scores arranged for recording or study

A

Distribution

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10
Q

Instrument used to measure strength of hand grip

A

Dynamometer

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11
Q

In most meta-analytic studies, this is what typically expressed as correlation coefficient

A

Effect size

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12
Q

Collective influence of all of the factors on a test score or measurement beyond those specifically measured by the test or measurement

A

Error

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13
Q

Professional practice that is based on clinical and research findings

A

Evidence-based practice

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14
Q

Number of times each score occurred

A

Frequency distribution

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15
Q

Chart that contains a continuous line representing the frequencies of scores within a class interval

A

Frequency polygon

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16
Q

Diagram or chart composed of lines, points, bars, or other symbols that describe and illustrate data

A

Graph

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17
Q

Test-score intervals, also called class intervals, replace the actual test scores

A

Grouped frequency distribution

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18
Q

Graph with vertical lines drawn at the true limits of each test score (or class interval), forming a series of contiguous rectangles.

A

Histogram

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19
Q

Distance between the first quartile ‍ and the third quartile ‍

A

Interquartile range

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20
Q

Contain equal intervals between numbers; each unit on the scale is exactly equal to any other unit on the scale; contain no absolute zero point.

A

Interval scales

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21
Q

The term testing professionals use to refer to the steepness of a distribution in its center

A

Kurtosis

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22
Q

Distributions that are generally described as relatively peaked

A

Leptokurtic

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23
Q

Standard score that retains a direct numerical relationship to the original raw score.

A

Linear transformation

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24
Q

Average value of set numbers

A

Mean

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25
Q

Act of assigning numbers or symbols to characteristics of things (people, events, whatever) according to rules; rules used in assigning numbers are guidelines for representing the magnitude (or some other characteristic) of the object being measured.

A

Measurement

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26
Q

Statistic that indicates the average or midmost score between the extreme scores in a distribution.

A

Measure of central tendency

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27
Q

Statistics that describe the amount of variation in a distribution.

A

Measures of variability

28
Q

Middle score in a distribution, is another commonly used measure of central tendency.

29
Q

Distributions are generally described as somewhere in the middle

A

Mesokurtic

30
Q

Family of techniques used to statistically combine information across studies to produce single estimates of the data under study.

A

Meta analysis

31
Q

Most frequently occurring score in a distribution of scores

32
Q

Simplest form of measurement; involve classification or categorization based on one or more distinguishing characteristics, where all things measured must be placed into mutually exclusive and exhaustive categories.

A

Nominal scale

33
Q

Involves “stretching” the skewed curve into the shape of a normal curve and creating a corresponding scale of standard scores

A

Normalizing a distribution/Normalized standard score scale

34
Q

Extremely atypical point located at a relatively long distance—an outlying distance—from the rest of the coordinate points in a scatterplot

35
Q

Can be the statistical tool of choice when the relationship between the variables is linear and when the two variables being correlated are continuous

A

Pearson correlation coefficient/ Pearson r

36
Q

Permit classification, rank ordering on some characteristic is also permissible; imply nothing about how much greater one ranking is than another.

A

Ordinal scales

37
Q

Relatively few of the scores fall at the high end of the distribution.

A

Positive skew

38
Q

Distributions are generally described as relatively flat

A

Platykurtic

39
Q

Equal to the difference between the highest and the lowest scores.

40
Q

Distribution of test scores (or any other data, for that matter) can be divided into four parts such that 25% of the test scores occur in each quarter.

A

Quartile scores

41
Q

Number that provides us with an index of the strength of the relationship between two things.

A

Correlation coefficient

42
Q

Has a true zero point; all mathematical operations can meaningfully be performed because there exist equal intervals between the numbers on the scale as well as a true or absolute zero point.

A

Ratio scale

43
Q

Straightforward, unmodified accounting of performance that is usually numerical.

44
Q

Set of numbers (or other symbols) whose properties model empirical properties of the objects to which the numbers are assigned.

45
Q

Graphic representation of correlation

A

Scatterplots

46
Q

Nature and extent to which symmetry is absent.

47
Q

Equal to the interquartile range divided by
2.; measurement of how spread out a set of data is; also known as the quartile deviation.

A

Semi-interquartile range

48
Q

Equal to the square root of the average squared deviations about the mean. More succinctly, it is equal to the square root of the variance.

A

Standard deviation

49
Q

Thiis coefficient of correlation is frequently used when the sample size is small (fewer than 30 pairs of measurements) and especially when both sets of measurements are in ordinal (or rank-order) form.

A

Spearman Rho

50
Q

Standard scores that take on whole values from 1 to 9, which represent a range of performance that is half of a standard deviation in width

51
Q

Composed of a scale that ranges from 5 standard deviations below the mean to 5 standard deviations above the mean.

52
Q

Raw score that has been converted from one scale to another scale, where the latter scale has some arbitrarily set mean and standard deviation.

A

Standard score

53
Q

The area on the normal curve between 2 and 3 standard deviations above the mean

54
Q

Indication of how scores in a distribution are scattered or dispersed.

A

Variability

55
Q

Equal to the arithmetic mean of the squares of the differences between the scores in a distribution and their mean.

56
Q

Results from the conversion of a raw score into a number indicating how many standard deviation units the raw score is below or above the mean of the distribution.

57
Q

All scores are listed alongside the number of times each score occurred.

A

Frequency distribution

58
Q

4 different levels or scales of
measurement

A

Nominal
Ordinal
Interval
Ratio

59
Q

2 types of scale

A

Continuous scale
Discrete scale

60
Q

2 types of FREQUENCY DISTRIBUTIONS

A

Simple frequency distribution
Grouped frequency distribution

61
Q

3 types of graphs in FREQUENCY DISTRIBUTIONS

A

Bar graph
Frequency polygon
Histogram

62
Q

Type of distribution where the mode, median and mean are all in the middle of the
distribution.

A

Symmetrical distributions

63
Q

Type of distribution where the mode remains the most commonly occurring value, the median
remains the middle value in the distribution, but the mean is generally ‘pulled’ in the direction of the tails.

A

Skewed distributions

64
Q

Bell-shaped, smooth, mathematically
defined curve that is highest at its center.

A

NORMAL CURVE

65
Q

3 types of standard score

A

Z Scores
T Scores
Stanine