Statistics

    Cards (11)

    • Probability
      P(A') = probability of A not happening
      P(AuB)= probability of A or B
      P(AnB) = probability of A and B
      P(AnB')= Not in both A and B
      P(AuB') =Not A or B
      P(A|B) = probability of A given B
    • Quota Sampling
      Sample reflects a trait until the quota for that trait is met
      +: small sample still representative, no sampling frame, quick, easy,cheap, compare groups in a population
      -:potential bias, groups can be costly or inaccurate, increased scope= more costs, non responses are not recorded
    • Opportunity Sampling
      Sampling whoever is available and fits the criteria
      +:easy, cheap
      -: unlikely to be representative, dependant on researcher
    • Census
      Observes every member of a population so is very accurate, but time consuming, expensive and can't be done when testing destroys the item
    • Sample
      Observations taken from a subset of the population. Cheaper, faster, less data to process, but may not be accurate or large enough to include subgroups of the population
    • Simple Random
      +: Bias-free, easy, cheap for small populations, equal chance of selection
      -:needs sampling frame, not suitable for large populations
    • Systematic
      1st person is random then regular intervals
      +:simple, quick, suitable for large populations
      -:needs sampling frame, introduces bias if the sampling frame is not random
    • Stratified
      no. in stratum/no. in population x desired sample size
      +: reflects population structures, proportional representation of groups
      -:must make distinct strata, sampling frame, unsuitable for large populations
    • Histograms
      Frequency= frequency density x class width
      Frequency polygon = joined the middle of each bar
      Shows continuous grouped data and gives a good idea of distribution
    • Comparing Data

      Use the mean and standard deviation OR the median and IQR
    • Regression
      +b = positive correlation -b=negative correlation
      using x to find y in the know range = interpolation
      using x to find y outside the range = extrapolation
      using y to x = illegal
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