Chapter 4 & 5 Flashcards

(29 cards)

1
Q

Central tendency

A

descriptive statistic that best represents the center of a dataset, which is the “typical” score or value that the rest of the data is clustered around

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2
Q

Statistics

A

numbers based on samples taken from a population

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3
Q

Parameters

A

numbers based on whole populations

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4
Q

Unimodal

A

when a distribution of scores has one mode

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5
Q

Bimodal

A

when a distribution of scores has two modes

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6
Q

Multimodal

A

when a distribution has more than two modes

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7
Q

Variability

A

numerical way of describing how much spread there is in a distribution

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8
Q

Variance

A

average of squared deviations from the mean

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9
Q

Deviation

A

amount that a score in a sample differs from the mean of a sample

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10
Q

Sum of squares

A

sum of each score’s squared deviation from the mean

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11
Q

Standard deviation

A

square root of the variance; typical amount that each score varies from the mean

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12
Q

Random sample

A

every member of the population has an equal chance of being selected into the study

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13
Q

Convenience sampling

A

uses participants who are readily available

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14
Q

Generalizability or external validity

A

researcher’s ability to apply findings from one sample or in one context to other samples or contexts

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15
Q

Replication

A

duplication of scientific results, ideally in a different context or with sample that has different characteristics (aka reproducibility)

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16
Q

Volunteer or self-selected sample

A

convenience sample in which participants actively choose to participate in a study

17
Q

Crowdsourcing

A

when a research team solicits input from a very large group of people, usually online

18
Q

Constraints on generality (COG) statement

A

a statement of the target population to which the study results should generalize which should be included in papers

19
Q

Confirmation bias

A

unintentional tendency to pay attention to evidence that confirms our beliefs rather than those that disconfirm

20
Q

Illusory correlation

A

phenomenon of believing one sees an association between variables when it doesn’t exist

21
Q

Personal or subjective probability

A

a person’s own judgement about the likelihood that an event will occur

22
Q

Expected relative-frequency probability

A

likelihood of an event occuring based on the actual outcome of many, many trials; only works in the long-run

23
Q

Outcome

A

result of a trial

24
Q

Success

A

outcome for which we’re trying to determine the probability

25
Probability vs. proportion
probability is what we would expect in the long-run while proportions are what we observe
26
Control group
level of IV that does not receive the treatment of interest in the study
27
Experimental group
level of IV that receives treatment or intervention of interest
28
Type 1 error
when we reject the null hypothesis but it is correct
29
Type 2 error
when we fail to reject the null hypothesis but it is false