Chapter 1 Flashcards

terms and definitions for chap. 1 of An intro to statistics and research design (26 cards)

1
Q

Descriptive statistic

A

organizes, summarizes, and communicates a group of numerical observations

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2
Q

inferential statistic

A

uses sample data to make a general estimates about the larger population

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3
Q

sample

A

is a set of observations drawn from the population of interest

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4
Q

population

A

includes all possible observations about which we’d like to know something

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5
Q

variable

A

is any observation of a physical, attitudinal, or behavioral characteristic that can take on different values

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6
Q

discrete observations

A

can take on only specific values (e.g. whole numbers); no other values can exist between these numbers

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7
Q

continuous observation

A

can take on a full range of values (e.g. numbers out to several decimal places); an infinite number of potential values exists.

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8
Q

nominal variable

A

is a variable used for observations that have categories, or names, as their values.

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9
Q

ordinal variable

A

is a variable used for observations that have rankings (i.e. 1st, 2nd, 3rd,…) as their values

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10
Q

interval variable

A

is a variable used for observations that have numbers as their values’ the distance (or interval) between pairs of consecutive numbers is assumed to be equal

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11
Q

ratio variable

A

is a variable that meets the criteria for an interval variable but also has a meaningful zero point.

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12
Q

scale variable

A

a variable that meets the criteria for an interval variable or a ratio variable

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13
Q

level

A

is a discrete value or condition that a variable can take on

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14
Q

independent variable

A

has at least two levels that we either manipulate or observe to determine its effects on teh dependent variable

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15
Q

confounding variable

A

is any variable that systematically varies with the independent variable so that we cannot logically determine which variable is at work; also called a confound.

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16
Q

reliability

A

refers to the consistency of a measure

17
Q

validity

A

refers to the extent to which a test actually measures what it was intended to measure

18
Q

hypothesis testing

A

is the process of drawing conclusions about whether a particular relation between variables is supported by the evidence

19
Q

operational definition

A

specifies the operations or procedures used to measure or manipulate a variable

20
Q

correlation

A

is an association between two or more variables

21
Q

random assignment

A

every participant in a study has an equal chance of being assigned to any of the groups , or experimental conditions, in the study

22
Q

experiment

A

is a study in which participants are randomly assigned to a condition or level of one or more independent variables

23
Q

between-groups research design

A

participants experience one, and only one, level of independent variable

24
Q

within-groups research design

A

the different levels of the independent variables are experienced by all participants in the study, also called repeated-measures design.

25
outlier
is an extreme score that is either very high or very low in comparison with the rest of the scores in the sample
26
outlier analysis
studies examine observations that do not fit the overall pattern of the data in an effort to understand the factors that influence the dependent variable