Psychological Statistics Flashcards

1
Q

Nominal Scale of Measurement

A

Name different categories
No quantitative properties
Numbers are just used as names

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2
Q

Ordinal Scale of Measurement

A

Numbers differentiate categories or instances
Numbers convey an ordered series of relationship
Can’t assume equal increments (1 to 2)
Example? Ranks

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3
Q

Interval Scale of Measurement

A

Has all properties of nominal and ordinal
A numerical difference means the same thing across the scale
Zero does not mean absence of thing measured
Example? degrees F, C, or

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4
Q

Ratio Scale of Measurement

A

Has all properties of nominal, ordinal, and interval
Zero point is absolute
Example? time, degrees K

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5
Q

discontinuous (discrete) variable

A

Variable for which only a finite number of values can occur between any two points
E.g. 1 person or 3 persons not 1.5 person or 2.7 person

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6
Q

Continuous variables

A

Theoretically can assume an infinite number of values between any two points
E.g. height, age, reaction times

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7
Q

independent variable

A

the variable manipulated by the researcher

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8
Q

dependent variable

A

the variable being measured by the researcher

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9
Q

Real (true) limits

A

applied to a continuous variable and it is (+/-) one half of the unit measured (decimal place). E.g.
47 + .5= 47.5
47 - .5= 46.5
or 47.5 + .05= 47.55
47.5 - .05= 47.45

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10
Q

Rounding Conventions

A

Round to two decimal places
Greater than 5 round up
Less than 5 leave unchanged
Exactly 5 round up to nearest even digit if not already there
6.575 –> 6.58
6.525 –> 6.52

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11
Q

Frequency Histogram

A
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12
Q

frequency polygon

A
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13
Q

Line Plot

A
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14
Q

Mesokurtosis

A
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15
Q

Platykurtosis

A
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16
Q

LeptoKurtosis

17
Q

stem and leaf plot

18
Q

Frequency Distributions for Quantitative Variables: Ungrouped Scores

A

scores are arranged from highest to lowest (x)
second column indicates the frequency (f)
detailed

19
Q

Frequency Distributions for Quantitative Variables: Grouped Frequency Distribution

A

arranged from highest to lowest
specify score INTERVALS and count how many scores fall in each interval
less detailed

20
Q

mode

A

most frequent score in a data set
data set can have 2 modes making it bimodal

21
Q

median

A

middle score
if N is even (N+1)/2
take the average of adjacent scores

22
Q

mean

A

X bar for sample
mu for population

23
Q

positively skewed

A

mode - median - mean

24
Q

negatively skewed

A

mean - median - mode

25
range
X highest - X lowest Sensitive to outliers
26
interquartile range
difference between the 25th percentile and the 75th percentile isn't affected by outliers so much but does omit data
27
standard deviation
28
variance