Experimental Design Flashcards

1
Q

Independent (predictor or explanatory) variable

A

The cause
Variable that is controlled or changed in the experiment

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2
Q

Dependent (outcome or response) variable

A

The effect
Variable being tested and measured

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3
Q

Hypothesis

A

tentative answer to a well-framed question

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4
Q

Experimental Group

A

The group that receives the treatment in an experiment

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5
Q

Control Group

A

Identical to experimental treatments except for one independent variable
Provides a baseline that lets us see if the treatment has an effect

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6
Q

Experimental unit

A

Physical entity to which a treatment is randomly applied and on which an observation is made

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7
Q

Internal Validity

A

Extent to which you can be confident that a cause and effect relationship established in a study cannot be explained by other factors
Control groups help ensure the internal validity of the experiment

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8
Q

Confounding variable

A

Unmeasured variable that effects both the cause and effect

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9
Q

Sample size

A

The number of experimental units per group

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10
Q

Negative Control Group

A

Experiment group treated the same as all the other but not expected to change from any variable

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11
Q

5 keys steps in designing an experiment

A

Consider your variables and how they are related
Write a specific, testable hypothesis
Design experimental treatments to manipulate your independent variable
Plan how you will measure your dependent variable
Randomly assign subjects to groups (control and experimental)

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12
Q

Explain the difference between Independent and Dependent Variable

A

Independent can be changed
Dependent is the effect/response

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13
Q

Explain the difference between Control and Experimental Group

A

Experimental group - gets the treatment
Control group - provides a baseline for the experiment, and expected result

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14
Q

Explain the purpose of including a suitable control group in an experiment

A

Creates a baseline for the experiment, lets us know is our independent variable has an effect on the dependent variable

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15
Q

Explain the purpose of standardizing variables in an experiment

A

Determines if the response was caused by just the independent variables and not other factors (confounding variables)

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16
Q

Explain the purpose of increasing sample size within an experiment, as well as repeating experiments

A

Makes it less likely that we reach a wrong conclusion