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
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.
Measurement
26
Statistic that indicates the average or midmost score between the extreme scores in a distribution.
Measure of central tendency
27
Statistics that describe the amount of variation in a distribution.
Measures of variability
28
Middle score in a distribution, is another commonly used measure of central tendency.
Median
29
Distributions are generally described as somewhere in the middle
Mesokurtic
30
Family of techniques used to statistically combine information across studies to produce single estimates of the data under study.
Meta analysis
31
Most frequently occurring score in a distribution of scores
Mode
32
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.
Nominal scale
33
Involves "stretching" the skewed curve into the shape of a normal curve and creating a corresponding scale of standard scores
Normalizing a distribution/Normalized standard score scale
34
Extremely atypical point located at a relatively long distance—an outlying distance—from the rest of the coordinate points in a scatterplot
Outlier
35
Can be the statistical tool of choice when the relationship between the variables is linear and when the two variables being correlated are continuous
Pearson correlation coefficient/ Pearson r
36
Permit classification, rank ordering on some characteristic is also permissible; imply nothing about how much greater one ranking is than another.
Ordinal scales
37
Relatively few of the scores fall at the high end of the distribution.
Positive skew
38
Distributions are generally described as relatively flat
Platykurtic
39
Equal to the difference between the highest and the lowest scores.
Range
40
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.
Quartile scores
41
Number that provides us with an index of the strength of the relationship between two things.
Correlation coefficient
42
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.
Ratio scale
43
Straightforward, unmodified accounting of performance that is usually numerical.
Raw score
44
Set of numbers (or other symbols) whose properties model empirical properties of the objects to which the numbers are assigned.
Scale
45
Graphic representation of correlation
Scatterplots
46
Nature and extent to which symmetry is absent.
Skewness
47
Equal to the interquartile range divided by 2.; measurement of how spread out a set of data is; also known as the quartile deviation.
Semi-interquartile range
48
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.
Standard deviation
49
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.
Spearman Rho
50
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
Stanines
51
Composed of a scale that ranges from 5 standard deviations below the mean to 5 standard deviations above the mean.
T scores
52
Raw score that has been converted from one scale to another scale, where the latter scale has some arbitrarily set mean and standard deviation.
Standard score
53
The area on the normal curve between 2 and 3 standard deviations above the mean
Tail
54
Indication of how scores in a distribution are scattered or dispersed.
Variability
55
Equal to the arithmetic mean of the squares of the differences between the scores in a distribution and their mean.
Variance
56
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.
z score
57
All scores are listed alongside the number of times each score occurred.
Frequency distribution
58
4 different levels or scales of measurement
Nominal Ordinal Interval Ratio
59
2 types of scale
Continuous scale Discrete scale
60
2 types of FREQUENCY DISTRIBUTIONS
Simple frequency distribution Grouped frequency distribution
61
3 types of graphs in FREQUENCY DISTRIBUTIONS
Bar graph Frequency polygon Histogram
62
Type of distribution where the mode, median and mean are all in the middle of the distribution.
Symmetrical distributions
63
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.
Skewed distributions
64
Bell-shaped, smooth, mathematically defined curve that is highest at its center.
NORMAL CURVE
65
3 types of standard score
Z Scores T Scores Stanine