Statistics Refresher Flashcards

1
Q

definition of measurement

A

assigning numbers or symbols to describe things based on set rules.

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2
Q

what is a scale?

A

a set of numbers whose properties model the empirical properties of an object the numbers are assigned to

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3
Q

what is an error?

A

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

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4
Q

types of scale based on the variable being measured

A

discrete scales and continuous scales

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5
Q

describe nominal scale

A

involves classification or categorization of based on one or more distinguishing characteristics

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6
Q

describe ordinal scale

A

classification and rank ordering on some characteristics

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7
Q

alfred binet believed that the data derived from an intelligence scale is {}

A

ordinal in nature: classify and rank people on the basis of their performance

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8
Q

plot twist in ordinal scale

A

ordinal scales imply nothing about how much greater one ranking is than another because the numbers do not indicate units of measurement

they only show order not precise amounts

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9
Q

characteristics of interval scales

A

permit categorization, ranking, and contain equal intervals between numbers

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10
Q

characterization of ratio scale

A

categorization, ranking, equal interval, and absolute zero

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11
Q

the level of measurement most frequently used in psychology

A

ordinal scale

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12
Q

why would psychologists want to treat their assessment data as interval when those data would better describe as ordinal?

A

for the flexibility for which the data can be manipulated statistically

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13
Q

what is frequency distribution

A

the scores and the number of times they occurred is listed side-by-side

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14
Q

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

A

measures of central tendency

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15
Q

how to find the arithmetic mean

A

sum of observations (tests scores) divided by the # of observations

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16
Q

conditions for arithmetic mean

A

most appropriate MCT for interval and ratio data when the distributions are believed to be normal

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17
Q

defined as the middle score of the distribution

A

the median

18
Q

conditions for median

A

most appropriate MCT for ordinal, interval, and ratio

particularly useful when relatively few scores fall at the high end of the distribution or relatively few scores fall at the low-end of distribution

19
Q

the most frequently occurring score

20
Q

conditions for mode

A

appropriate for nominal data

useful in the analysis of a qualitative or verbal nature

21
Q

indication of how scores in a distribution are scattered or dispersed

22
Q

the standard deviation is the…

A

square root of the variance

23
Q

condition for the meaningful interpretation of standard deviation

A

test-score distribution should be relatively normal

24
Q

it is the nature to which symmetry is absent; indication of how the measurements in a distribution are distributed

25
what does it mean if a test is positively skewed?
the test was too difficult where relatively few of the scores fall at the high end of the distribution distance between Q3 and Q2 is greater than the distance of Q2 and Q1
26
what does it mean if a test is negatively skewed?
the test was too easy where relatively few scores fall at the low end of the distribution. distance between Q3 and Q2 is less than the distance of Q2 and Q1
27
refers to the steepness of a distribution in its center
kurtosis
28
relatively flat distributions
platykurtic
29
relatively peaked distributions
leptokurtic
30
what does mesokurtic distribution look like?
somewhere between platy- and leptokurtic
31
characteristics of distributions with high kurtosis
a peak and fatter tails compared to normal distribution
32
characteristics of distribution with low kurtosis
rounder peak and thinner tails
33
kurtosis value and excess kurtosis value of a normal curve
3, 0
34
percentage of scores occurring 1 standard deviation above or below the mean
34%
35
percentage of scores occurring 1 standard deviation above and below the mean
68%
36
percentage of scores occurring 2 standard deviations above and below the mean
95%
37
what are standard scores?
it is a raw score converted from one scale to another where the latter scale has some arbitrarily set mean and SD
38
what are z scores?
it is equal to the difference of a particular raw score and the mean divided by the SD has a mean of 0 and SD of 1
39
the mean and SD of t scores
50 and 10
40
the mean and SD of stanines
9 and 2
41
the mean and SD of deviation IQ
100 and 15
42
what is correlation?
expression of the degree and direction of correspondence between two things