Inferential statistics Flashcards

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1
Q

normal distribution curve

A

mean, mode and median in the centre and has 50% of the scores on each side of the mean
symmetrical

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2
Q

___ of all participants scores lie within one SD from the mean

A

68%

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3
Q

___ of all participants scores lie within two SD from the mean

A

95%

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4
Q

___ of all participants scores lie within three SD from the mean

A

99.7%

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5
Q

skewed distributions

A

in normal distribution all measures of central tendency lie together in the middle of the graph. Not so in skewed distributions as there is a greater spread of scores on one side

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6
Q

left skew

A

negative
mean smaller than mode

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7
Q

normal distribution

A

mean, mode and median all equal

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8
Q

right skew

A

positive
mean larger than mode

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9
Q

probability

A

the likelihood that a certain pattern in data could be due to chance rather than the actual variables being studied

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10
Q

by assessing the ______ we can determine the ______ of the results

A

probability and significance

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11
Q

significance

A

a significant result is one where there is low probability that chance factors were responsible for any difference or correlation between variables tested

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12
Q

parametric test

A

normally distributed data

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13
Q

non parametric test

A

skewed distributions

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14
Q

type 2 error

A

produced by a too strict probability
think there was no effect when there was
accept null
when incorrect
should have rejected it

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15
Q

type 1 error

A

produced by a too lenient probability
think there was a significant effect when the results were due to chance
reject null
when correct
should have accepted it

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16
Q

factors that effect which statistical test to use to analyze your data

A
  1. distribution and spread of scores (normal,skewed)
  2. research method correlation (correlation) or experiment (test of difference)
  3. design of experiment, independent (unrelated), repeated/matched pairs (related)
  4. level of measurement (nominal, ordinal, interval, ratio)
17
Q

when to use parametric test

A

interval data and scores must come from normally distributed spread

18
Q

observed value

A

value you calculate from your statistical test

19
Q

critical value

A

value you look up in the table that goes with the statistical test

20
Q

test rule

A

if the name of your test has a R in it then your observed value must be greater than or equal to your critical value in order to be significant