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Significant
Unlikely to have arisen by chance
Null hypothesis
there is no relationship between the variables
directional hypothesis
Previous research, one tailed
Non-directional hypothesis
No previous research, two tailed
Falsify
To be able to disprove the theory
Significance level/ P value
p less than or equal to .05
Type 1 error
false positive, rejecting null hypothesis that's true
Type 2 error
false negative, accepting a null hypothesis that's false
Nominal data
Data in categories
Ordinal data
Data ordered but doesn't have equal intervals
Interval data
Data based on numerical scales
Spearman's rho
Correlation, ordinal, related
Pearson's r
Correlation, interval, related, parametric
Chi-Squared
difference or association, nominal, independent groups
Sign test
Difference
Nominal
Related
Mann-Whitney U test
Difference, ordinal data, independent groups
Wilcoxon T test
Difference, ordinal data, repeated measures
Unrelated t-test
Difference, interval data, unrelated design, parametric
Related t-test
Difference, interval, related, parametric
parametric tests
Interval data, normally distributed, homogeneity of variance
observed value
Value calculated from a set of observations
Critical value
Value to be achieved for significance
degrees of freedom
Often number of participants in the study (N), used for parametric tests and chi-squared
One tailed test
directional hypothesis
Two tailed test
non-directional hypothesis
smallest value of either pluses or minuses
Value of s (sign test)
S must be equal to or less than critical value
Chi-squared, Mann whitney U test, Wilcoxon t test