Significance testing

    avatar
    Created by
    Pierre Gasly

    Cards (37)

    • What is anova
      Analysis of variance
    • What are the groups of significance testing
      Parametric and non-parametric
    • What does non-parametric test
      Frequencies
    • What are the types of parametric tests
      T-tests and ANOVA
    • What do parametric tests compare
      Means and variances
    • Describe a t-test
      It is used to make comparisons between 2 sample means or a sample mean and population mean.
    • What sample size do t-tests work best with
      Small [~ 30].
    • What is a one sample t-test
      When you have a single sample compared to a fixed sample.
      Each subject appears once within a population.
    • What is a paiired/related t-test
      When two observations are made on the same sample subject.
      This can be used to study a change in time or conditions.
      Each subject appears in each sample.
    • What is an independent/unpaired/two-samples t-test
      Investigates if there is a difference between two samples under the same conditions.
    • Eqaution for one-sample t-test
      [X bar - Fixed value] / Standard error of the mean
    • Equation for standard error fo the mean
      Sample standard deviation / Square root of n.
    • Degrees of freedom for one-sample t-test
      n - 1
    • Equation for paired t-test
      Mean difference / Standard error of the differences
    • Standard error fo the differences equation
      The square root of [ Standard deviation squared / N + Standard deviation squared / N].
    • Degrees of freedom for paired t-test
      N - 1
    • unpaired t-test equation
      [ Mean - Mean ] / Standard error of the difference
    • Degrees of freedom for unpaired t-test
      N + N -2
    • What is the name of the statistic in an anova
      F
    • What does an anova do
      Calculates the variability between samples and within samples.
    • What are the types of anovas
      One-way and repeated-measures
    • Describe a one-way ANOVA
      Used to compare factors in 2 independent samples.
    • Describe a repeated measures ANOVA
      Compares dependent subjects under different conditions.
    • How many factors are in a one-way anova
      1
    • How many factors are in a two-way anova
      2
    • What is a confidence interval of 95%
      It means you have a 5% chance of rejecting the null hypothesis incorrectly.
    • What is desegrated data
      This is data which is split into categories
    • How do you determine where the variability is in an ANOVA
      Use a post-hoc test such as a Turkey test.
    • What assumption does the turkey test make
      It assumes the variances are equal
    • What are the types of chi squared tests
      Association and goodness of fit
    • What is a chi-squared goodness of fit test
      It determines if the data fits your expectations.
    • Eqaution for a chi-squared

      The sum of [Observed - Expected] squared / Expected
    • What does chi-squared goodness of fit test calculate
      An error score
    • What does a chi squared test of association mean
      It calculates the independence of two variables on a single population
    • What is the degrees of freedom 

      This is the number of categories for your observations
    • Df for chi squared goodness of fit
      n - 1
    • Df for chi squared test of association
      Df for column * Df for rows
    See similar decks