(1) The Sample and its Properties

(1) The Sample and its Properties

1. Population- All possible outcomes (entire sample space)

   • Sample- subset of outcomes

2. Correct sampling

   • Procedure
     • Systematic error
     • Random v Stratified
   • Size of sample

3. Accuracy of estimation

   • Precision
   • Bias

4. Data categories

   • Categorical (qualitative)
     • Nominal
     • Ordinal
   • Numerical (quantitative)

5. Describing data analytically

6. Describing data graphically

   • Histograms
     • Skewness
     • Kurtosis
   • Stem and leaf plots
   • Box and whiskers plots
     • Quartiles
     • Whiskers
     • Outliers
   • Q-Q plot

7. Correlation