Data Management Unit 2 Flashcards

1
Q

Cause and Effect Relationship

A

Change in x produces change in y (EX: height vs velocity)

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2
Q

Common-Cause Factor

A

External variable causes two variables to change in the same way.

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3
Q

Reverse Cause-and-Effect Relationship

A

Dependent and independent variables are reversed in the process of establishing causality.

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4
Q

Accidental Relationships

A

Correlation without any casual relationship between variables (Female engineers over the years increased, so did reality television)

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5
Q

Presumed Relationships:

A

Correlation doesn’t seem to be accidental even though no cause and effect or common-cause factor. (level of fitness in people who like adventure movies)

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6
Q

Extraneous Variable

A

Affects either the dependent or independent variable.

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7
Q

Experimental Group

A

Group where the independent variable is changed in an experiment or statistical study.

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8
Q

Control Group

A

Independent variable is held constant in an experiment or statistical study.

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9
Q

Sampling Technique

A

Process of studying the population by gathering information and analyzing data

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10
Q

Sample Bias

A

Bias resulting from a sampling frame that doesn’t reflect the characteristics of the overall population.

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11
Q

Hidden variable

A

An extraneous variable that is harder to pin-point/recognize

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12
Q

Outliers

A

Points in data that are much more different than the rest of the other data

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13
Q

Scale

A

Can affect the graph/the way it is portrayed (climate change and rain fall)

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