week 5: stats tests i did at a level

is this a foundation year. i swear to god.

t tests:

  • examine differences between groups of people

    • compare distributions of groups - central tendency and variability

  • shows us whether there is a statistically significant difference between two groups

  • data needs to meet assumptions:

    • normal distribution

    • interval/ratio data

    • homogeneity of variance = data sets are spread out the same amount

      • tested via levene’s test - significant test = no homogeneity of variance

    • no extreme data scores

  • parametric

    • non parametric equivalent = wilcoxon test for repeated measures, mann whitney for independent

  • see slides for actual equation but the components are:

    • difference between means of sample (m1-m2)

    • variability of data in samples (sd1 and sd2)

    • sample sizes (n1 and n2)

  • 2 types of t test:

    • independent measures = used for independent groups design - data from 2 different groups

    • repeated measures/paired samples = ppts are assessed twice and give two sets of scores

mann whitney:

  • assumptions:

    • non parametric data

    • comparing 2 groups

    • independent groups

  • if you really want to know how jamovi does it for you see slides

wilcoxon signed rank:

  • assumptions:

    • non parametric data

    • comparing 2 groups

    • repeated measures

  • again there’s a slide of useless information about how software does it for you

pros and cons of non parametric:

pros:

  • do not rely on restrictive parametric assumptions

  • unaffected by outliers

cons:

  • less powerful than parametric

  • more observations needed for this than parametric to find significance

    • not as good for smaller samples

standard error:

  • shows us how accurately our sample represents the population

  • standard deviation over square root of number of people in the sample

  • estimated standard deviation for the central tendency of an infinite population

  • small se indicates representative sample

if you need a refresher on critical value tables give your head a wobble but they’re in there

robot