Chapter 1 Flashcards

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1
Q

PEMDAS

A

Parenthesis, exponents, multiplication, division, addition, subtraction

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2
Q

Cases

A

The participants in or subjects of a study.

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3
Q

Confounding variable

A

A third variable in correlational and quasi-experimental designs that is not controlled for and that has an impact on both of the other variables.

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4
Q

Correlational design

A

A scientific study in which the relationship between two variables is examined without any attempt to manipulate or control them.

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5
Q

Criterion variable

A

The outcome variable in a correlational design

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6
Q

Dependent variable

A

The variable where the effect is measured in an experimental or quasi-experimental study.

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7
Q

Descriptive statistic

A

A summary statement about a set of cases.

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8
Q

Experimental design

A

A scientific study in which an explanatory variable is manipulated or controlled by the experimenter and the effect is measured in s dependent variable.

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9
Q

Explanatory variable

A

The variable that causes, predicts, or explains the outcome variable.

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10
Q

Grouping variable

A

The variable that is the explanatory variable in s quasi-experimental design.

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11
Q

Independent variable

A

The variable that is controlled by the experimenter in an experimental design.

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12
Q

Inferential statistic

A

Using observations from a sample to draw conclusions about a population.

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13
Q

Interval-level numbers

A

Numbers that provide information about how much an attribute is possessed , as well as information about same/different and more/less; interval-level numbers have equality and an arbitrary zero point.

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14
Q

Nominal-level numbers

A

Numbers used to place cases in categories; numbers are arbitrary and only provide information about same/different.

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15
Q

Ordinal-level numbers

A

Numbers used to indicate if more or less of an attribute is possessed; numbers provide information about same/different and more/less.

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16
Q

Outcome variable

A

The variable that is caused, predicted, or influenced by the explanatory variable.

17
Q

Parameter

A

A value that summarizes a population

18
Q

Population

A

Th larger group of cases a researcher is interested in studying.

19
Q

Predictor variable

A

The explanatory variable in a correlational design.

20
Q

Quasi-experimental design

A

A scientific study in which cases are classified into naturally occurring groups and then compared in a dependent variable.

21
Q

Random assignment

A

Every case has an equal chance of being assigned to either group in an experiment; random assignment is the hallmark of an experiment.

22
Q

Ratio-level numbers

A

numbers that have all the attributes of interval-level numbers, plus a real zero point4 numbers that provide information about same/different. More/less, how much an attribute is possessed , and that can be used to calculate a proportion.

23
Q

Sample

A

A group of cases selected from a population.

24
Q

Statistic

A

A value that summarizes data from a sample.

25
Q

Statistics

A

Techniques used to summarize data in order to answer questions.

26
Q

Variables

A

Characteristics measured by researchers.