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1

unrelated t-test

testing for a difference

independent measures

interval

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2

related t-test

testing for a difference

repeated measures

interval

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3

chi squared

testing for difference or association

independent measures

nominal

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4

sign test

testing for a difference

repeated measures

nominal data

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5

spearman’s rank order correlation coefficient

testing for a difference

related pairs of scores

ordinal

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6

pearson’s production moment correlation coefficient

testing for a difference

related pairs of scores

interval

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7

interval data

data measured using units of equal intervals eg., the time taken to complete a questionnaire

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8

ratio data

where there is a true zero point e.g., age

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9

ordinal data

data ordered in some way e.g., listing football teams in an order of liking

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10

nominal data

data in separate categories e.g., grouping people to their favourite football team

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11

mann whitney u tets

testing for a difference

independent measures

ordinal

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12

wilcoxon

testing for a difference

repeated measures

ordinal

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13

what is the aim of inferential statistical testing?

to discover if results are statistically significant

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14

what is significant?

unlikely to have occured through chance

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15

what is the usual level of significance?

5%

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16

how is significance expressed?

in terms of null hypotheses

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17

what is a null hypothesis?

where there is no stated difference between variables

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18

what is a type I error?

false positive

too lenient when setting probability level

too much margin for error

e.g., p as >0.1

incorrectly rejecting null hypothesis

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19

what is a type II error?

false negative

too stingy when setting probability level

e.g., p as <0.01

incorrectly accepting null hypothesis

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