Statistical reasoning Flashcards

1
Q

In regard to B, if A had not occurred, B would not have occurred
Have to be a brother to be an uncle. What kind of condition is this?

A

Necessary condition

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2
Q

In regard to B, A is enough to guarantee that B occurs. What type of condition is this?

A

Sufficient condition

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3
Q

Statistical propositions

A

Propositions that present quantitative evidence about a category of things

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4
Q

total

A

the entire number of items in a class S or the sum of their values on a variable P

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5
Q

Ratio

A

the total expressed as a unit of another class (a total expressed in relative terms)

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6
Q

Frequency

A

the number or proportion of Ss that have some particular value on a variable P

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7
Q

Distribution

A

the number or proportion of Ss that have each of the values (P, Q, R) on some variable

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8
Q

mean

A

the sum of the values that the Ss have on a quantitative variable P, divided by the number of Ss

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9
Q

Median

A

The middle value of the Ss on a quantitative variable P

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10
Q

Absolute frequency

A

Tell actual number of Ss that are Ps

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11
Q

Relative frequency

A

Tell us proportion of Ss that are Ps

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12
Q

Proxy variable

A

variable that affects result but is not measured/directly relevant in data

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13
Q

Internal validity

A

certainty around cause and effect of members in study

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14
Q

External validity

A

can the generalisation hold for a wider group

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15
Q

Statistical generalisation

A

aiming for a representation of a larger sample (want quantitative diversity and use random sampling)

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16
Q

Can be 95% sure that our claim i will fall within this probability (e.g. 5% of 46 = likely to be within 41 and 51)

A

Margin of error

17
Q

How you choose the sample has effect on how random it is (e.g. testing test scores from first 10 to arrive at class)

A

Selection bias

18
Q

How you word questions has effect on randomness of sample (e.g. do you support war or intervention)

A

Testing biases

19
Q

When random sampling consider:

A

Margin of error
Testing biases
Selection biases

20
Q

Priming

A

expose to a stimulus influences a response to a subsequent stimulus without conscious guidance/intention

21
Q

confounding variable

A

undesirably affects outcome as third unknown variable

22
Q

Experimental vs observational

A

Can’t control all variables so important to know difference

23
Q

bigger the effect

A

more like there is a causation, rather than a correlation

24
Q

Statistical correlations

A

Specific type of relationship between two variables e.g. average income and education years

25
Q

Correlation does not automatically imply…

A

causation