On successful completion of this subject, students should be able to:

1. Organise, tabulate, present, summarise and graph data appropriately;
2. Apply probability to solve business decision making problems;
3. Define and distinguish between discrete and continuous probability distributions;
4. Estimate population means and proportions using confidence intervals;
5. Test hypotheses about population means and proportions;
6. Understand and apply correlation and linear regression to describe and analyse relationships between variables;
7. Use the Chi-square test for goodness of fit and test for independence to analyse categorical type data;
8. Use the necessary computing skills required in Excel to solve and analyse statistical data.

Data type and collection, graphical and tabular techniques
Numerical descriptive measures, and basic Probability
Discrete and continuous probability distributions
Sampling distribution
Statistical inferences - hypothesis testing
Correlation and Linear regression analysis
Statistical inferences -estimation
Analysis of Categorical data
Index Numbers