SPINE of Statistics Flashcards

1
Q

what does SPINE stand for?

A

standard error / parameters / interval estimates / null hypothesis / estimates

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2
Q

what is sampling variance?

A

a sample is just one of many, so there will be a variety of means

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3
Q

what is sampling error?

A

unrepresentativeness

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4
Q

what is sampling distribution?

A

the distribution between samples

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5
Q

what are confidence intervals?

A

intervals which contain the true population value of the parameter / 95% will hit the true value

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6
Q

what is standard error?

A

how parameters differ from sample to sample / variability

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7
Q

what is null hypothesis significance testing?

A

when an observations tested against a null hypothesis

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8
Q

what are p values linked to…?

A

sample size: ^ sample = ^ significance

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9
Q

what should you use instead of p values?

A

effect size

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10
Q

what is effect size?

A

quantifies the difference between two groups / standardised mean

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11
Q

definition of p value?

A

the probability of obtaining data as extreme as you have - assuming the null hypothesis is true

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12
Q

what is cohen’s d?

A

an effect size which indicated the standardised difference between two means

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13
Q

what does it mean if d=0?

A

the means are the same

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14
Q

what does it mean if d=1?

A

the means are 1 standard deviation apart

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15
Q

what is a small and large effect size?

A

small = 0.2 / large = 0.8

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16
Q

how do you calculate cohens d?

A

difference in means / SD

17
Q

model 2 > …

A

model 2 > model 1 > model 0 (mean)