stats 17- on vocab Flashcards

1
Q

experiment

A

impose a treatment in order to observe a response on an individual

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2
Q

Confounded

A

an unmeasured variable that influences both the supposed cause and effect.

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3
Q

simulation

A

way to model random events, such that simulated outcomes closely match real-world outcomes.

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4
Q

treatments

A

a specific environmental/ condition applied to the unit of study

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5
Q

subjects

A

a person or thing that is being discussed, described, or dealt with.

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6
Q

factors

A

the variables that experimenters control during an experiment in order to determine their effect on the response variable
(explanatory variable)

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7
Q

design

A

1) Describe the response variable

2) Describe the factors (explanatory variable)

3) Describe the layout of the treatment (comparison is the leading principle)

4) Assign the experimental units to the treatment

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8
Q

control

A

the first basic principle of statistical design of the experiment. Helps eliminate lurking variables and compare data

comparison group that enables us to control the effects or the effects of the lurking variable on the outcome.

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9
Q

Randomization

A

The use of chance to divide the experimental units/ subjects into different treatment groups

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10
Q

Double blind

A

When neither the interviewe NOR the interviewer know which treatment has been given

ex) researchers know but don’t tell subjects nor the therapist when doing PT.

eliminates response bias

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11
Q

Placebo

A

a dummy or a fake treatment used to compare to the treatment of interest.

Sugar pill vs normal pill

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12
Q

Lack of realism

A

1) Not believable to the subject
2) Not a convincing representation of the real world

ex. trolley problem
hot out go inside this cold room with an expert that is now making you operate the train after stepping away for a phone call

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13
Q

Block Design

A

Seperate subjects into groups based on similarities , then taking an SRS for each treatment

GARDEN
fertilizer in some (basil, thyme, parsley, mint- in one pod as they ALL need sun)

more people, not just 2 like a matched pair

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14
Q

Matched pairs design

A

Subjects are matched together based on key variables of study (characteristics of the units/ subjects)

PAIRS

TWO 30 year old, un-athletic, women getting a knee surgery

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