Chapter 1 Flashcards

1
Q

Set of measurements taken on a set of individual units.

A

Data

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2
Q

Units; what is being tested.

A

Cases

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3
Q

What is different between cases

A

Variables

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4
Q

Divide cases into groups (non-numerical)

A

Categorical variable

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5
Q

Measures the numerical quantity of each case

A

Quantitative variable

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6
Q

What is doing the manipulating (cause)

A

Explanatory variable

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7
Q

Action to explanatory variable

A

Response variable

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8
Q

All individuals/objects of interest

A

Population

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9
Q

A portion of the population we collect data on and infer with

A

Sample

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10
Q

The process of using data from the sample to gain information on the population

A

Statistical inference

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11
Q

When selecting methods of sampling, the sample differs too drastically from the population because of what

A

Sampling bias

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12
Q

Bias where participants choose to participate

A

Volunteer bias

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13
Q

T or F: Wording of the question is a form of bias

A

True

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14
Q

T or F: Context doesn’t matter and isn’t a bias

A

False

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15
Q

Inaccurate responses are caused by what bias

A

Participants did not understand the question

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16
Q

One variable is related to the other

A

Associated variables

17
Q

Change in one variable influenced by the other

A

Casually associated variables

18
Q

A third, usually un-noticed, variable that influences the other variables

A

Confounding/hidden/lurking variable

19
Q

A study where researchers don’t actively control the value of the variable and watches it instead

A

Observational study

20
Q

a study where researchers actively control the explanatory variable(s)

A

Experiment

21
Q

The explanatory variable is chosen randomly before the response variable is measured

A

Randomized experiment

22
Q

Randomizing the cases into different groups (one gets one form of variable, the other gets the other form)

A

Randomized comparative experiment

23
Q

Give each case each variable and randomize the order received

A

Matched pairs experiment