Introduction to Statistics
Data collection: Introduction to sampling and
probability for marketing research and
experimentation. Collection and presentation of
statistical data. Histograms and the cumulative
frequency polygon and curve.
Data summaries: Mode, median and mean.
Standard deviation. Quartiles and interquartile
Further Probability and Set Theory
Further Probability: Mutually exclusive events and
independent events. Laws of Probability. Conditional
Set Theory: Sets, intersections, unions,
complements. Venn diagrams, including their use to
solve probability problems.
Correlation, Linear Regression and Time Series
Correlation: Scatter graphs. Calculation and
interpretation of the coefficient of correlation.
Linear Regression: Calculation of the equation of a
least-squares linear regression line.
Time Series: Trend-line, moving averages.
Discrete random variables: Probability distributions
given algebraically or in tables. Calculate the mean
E( ) and the variance Var( ).Distributions: Binomial distribution. Normal
distribution and confidence intervals.