STATISTICAL TESTS

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16 Terms

1

what is chance and why is it important

something with no cause instead it just happens - cannot be 100% sure that an observed effect wasn’t due to chance so need to decide on a probability that we will ‘risk’

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2

explain the probability level of p≤0.05

  • express a degree of uncertainty

  • ensures that there is a balance between the risk of making a type I or a type II error as it is not too lenient or too strict 

  • 5% chance of results occurring due to null hypothesis 

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3

what is a type one error

  • occurs when a researcher rejects a null hypothesis that is true

  • false positive whereby the psychologist falsely claims their findings are significant when in fact there is not

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4

what is a type two error

  • occurs when a researcher accepts a null hypothesis that was not true

  • false negative whereby the psychologist thinks their findings were not statistically significant, but they were

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5

what is nominal data

data in separate categories e.g. grouping pp according to favuorite football team

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6

what is ordinal data

data ordered in some way AND the difference between each item is not the same e.g. ranking preferences

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7

what is interval data

data measured using units of equal intervals e.g. temperature

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8

what is ratio data

data measured in equal intervals with a true zero point e.g. weight

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9

reasons for the use of the sign test

  • testing for difference

  • groups are related

  • data is nominal

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10

reasons for the use of the chi squared test

  • testing for difference or correlation

  • groups are unrelated

  • data is nominal

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11

reasons for the use of the mann-whitney test

  • testing for difference

  • groups are unrelated

  • data is ordinal

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12

reasons for the use of the wilcoxon test

  • testing for difference

  • groups are related

  • data is ordinal

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13

reasons for the use of the unrelated t test

  • testing for difference

  • groups are unrelated

  • data is interval

  • population is assumed to have a normal distribution

  • variance of the sample is assumed to be the same

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14

reasons for the use of the related t test

  • testing for difference

  • groups are related

  • data is interval

  • population is assumed to have a normal distribution

  • variance of the sample is assumed to be the same

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15

reasons for the use of the spearman’s rho test

  • testing for correlation

  • groups are related

  • data is ordinal

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16

reasons for the use of the pearsons r test

  • testing for correlation

  • groups are related

  • data is interval

  • population is assumed to have a normal distribution

  • variance of the sample is assumed to be the same

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