Stats Midterm

  1. simple random sampling
    equal chance from population
  2. systemic sampling
    • order population, then every otherĀ 
    • e.g. alphabetical then every 3rd person
  3. stratified sampling
    • divided into stratas, randomly selected fr each
    • smaller scale
    • a farmer wishes to work out the average milk yield of each cow type in his herd which consists of Ayrshire, Friesian, Galloway and Jersey cows. He could divide up his herd into the four sub-groups and take samples from these
  4. cluster sampling
    • naturally occurring geographic other boundaries
    • random selected within
    • larger scale
    • Department of Agriculture wishes to investigate the use of pesticides by farmers in England. A cluster sample could be taken by identifying the different counties in England as clusters. A sample of these counties (clusters) would then be chosen at random, so all farmers in those counties selected would be included in the sample. I
  5. quantitative: discrete vs continuous
    • discrete: counting
    • continuous: measuring
  6. nominal scale
    • mutually exclusive (only one category)
    • no particular order
    • e.g. marriage status canadians single, married, divorced, widowed
  7. ordinal scale
    • objects in order
    • e.g. students according y ear rank
  8. interval scale
    • order w/ equal distance
    • negative values allowed
    • e.g. temperatures celsius
  9. ratio scale
    • absolute zero point
    • e.g. weight, mass
Card Set
Stats Midterm
linear regression, binomial distribution, poisson distribution