Midterm 1 Flashcards

(55 cards)

1
Q

statistics

A

the science of collecting, analyzing, and interpreting data

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2
Q

statistic

A

a measure of some attribute of a sample (samples can be one element, or a large collection of elements)

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3
Q

descriptive statistics

A

statistics focus on a group of numerical observations about a population of interest

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4
Q

inferential statistics

A

interpretations about populations based on analyses of smaller set of information

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5
Q

variables

A

general characteristics, usually quantified, that VARY and can be used to compare or describe

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6
Q

variability

A

the fact that variables obtained often differ from one another

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7
Q

constructs

A

a hypothetical measure that is designed to generate variables that can be used to explain/measure an idea or concept

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8
Q

operational definition

A

a method of obtaining or measuring a variable

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9
Q

levels

A

a method of obtaining or measuring a variable

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11
Q

reliability

A

consistency in measurement

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12
Q

validity

A

accuracy of measurement with respect to intent

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13
Q

independent variables

A

variables that have at least 2 levels that we either manipulate or the observe in a group

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14
Q

dependent variables

A

variables that are believed to be caused by or changed by the independent variable

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15
Q

advantages to mean

A

LOWEST sampling variability

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18
Q

advantages to mode

A

Easy to calculate

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21
Q

advantages to median

A

Good for distributions that are skewed/have extreme outliers

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24
Q

disadvantages to mean

A

The only measure of central tendency that is sensitive to outliers

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25
Q

disadvantages to mode

A

Gives little info about the entire distribution.

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28
Q

disadvantages to median

A

Does not represent all of the scores in the distribution

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29
Q

outliers

A

Numbers that are much greater or much less than the other numbers in the set

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30
Q

measures of variability

A

Measures of variability allow us to talk about how close or far from the mean the scores in the distribution are.

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31
Q

random assignment

A

creating groups by giving each participant an equal chance of being in the experimental conditions/levels

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32
Q

stratified assignment

A

creating equivalent groups based on important characteristics

33
Q

replication

A

duplication of a study with a different group, obtained in a different way, in order to verify the results

34
sample statistic
the measureable characteristic of the sample of the population that we're interested in
35
sampling statistic
selecting a subset of the population to collect data from (statistics) in order to make inferences about the population (parameters)
36
subjective probability
probability based on an individual's opinion of the likelihood that an event will occur, or that an event or relationship is due to more than chance
37
expected probability
a measure of the actual probability of an outcome if the outcomes were random and repeated many times
38
null hypothesis
a statement that implies no effects, differences, or similarities on or between variables within a population of interest
39
alternative hypothesis
a statement that implies that the null hypothesis is false (untrue)
40
4 types of studies
Case studies
44
case studies
an analysis of statistics of one element or a small sample of elements
45
non-experimental studies
analyses that compare or measure similarities/differences within a group that we do not manipulate
46
experimental studies
#NAME?
47
construct validity
is it measuring what we're interested in
48
predictive validity
does the measure predict related behavior/measures
49
concurrent validity
does it relate to other measures that are supposed to be measuring the same thing
50
continuous
variables that can assume an infinite number of values
51
discrete variables
variables that have a finite set of variables
52
categorical variables
variables that have no numerical meaning
54
quantitative variables
the levels of these variables that are represented as numbers
55
ordinal
variables that have that have a natural order, but the precise distance between values is not defined
57
interval
variables that have values where the distance between them is meaningful and consistent
60
ratio variables
interval variables where there is a true 0 and where ratios of values make sense
62
real limits
#NAME?
63
midpoint
the precise center of a class interval
64
true random sampling
taking the entire population and selecting a sample randomly from that population
65
stratified sampling
identifying some major characteristics of interest in the population (e.g. gender, age, race, etc.) and generating a sample that is proportionally equivalent to the population
66
pseudo-random sampling
taking everyone that is accessible from a population of and selecting a sample randomly from that group
67
cluster sampling
random sampling of organized groups of individuals from the population
68
measurement error
variation due to the inability to measure something accurately
69
unreliability
variations due to differences in responses to the same situation
70
concepts that impact the scores
measurement error
74
convenience sampling
taking a select sample from the population that is easily accessible
75
volunteer sampling
sampling that is obtained through the willing participation