Statistics 1

Statistics 1

1. Week 1

   • measurement
     • Concept-->conceptual definition-->operational definition-->variable
   • True value
     • Systematic error
       • random error
         • reliability
       • vailidity
   • levels of measurement
     • nominal, ordinal, interval

2. Week 2

   • research design
     • hypotheses
       • specificity & direction of effect
       • falsifiable
       • empirically testable
     • in/dependent variable
     • causal explanations
       • time order
       • non-spuriousness
       • theoretical consistency
       • covariation
     • model/theory/assumptions
     • research design
       • effects
       • true experiment
       • quasi experiment
     • internal/external validity
       • selection and out of sample extrapolation
     • explanatory/confirmatory design
       • omitted variables
       • regression to the mean
       • non random sample selection

3. Week 3

   • distributions
     • simple frequency distribution
       • measures of central tendency
         • mode, median, mean
           • caveat about the mean
           • mean: dispersion and central tendency
             • dispersion: range, interquartile range, variance, standard deviation
   • descriptive stats
   • levels of measurement
   • measures of dispersion
   • skew
     • log & power transformations to transform skew! e.g. transform interval into ordinal
   • recodes and transformations

4. Week 4

   • standard deviation/variance
   • z scores
   • probability, sampling & inference
     • samples and populations
   • the basic law of probability
     • joint/union/conditional probability
     • probability distribution
     • priori/posterior probability
     • the general rule of multiplication
     • the general rule of addition
   • random sampling: selection and response bias
     • random error

5. Week 6

6. Week 5

   • inference with sample statistics
   • confidence intervals
   • t scores
   • standard error
   • polling