We will look at the scope of statistics, collection, classification, tabulations and presentation of data. Frequency distributions, graphical presentation and the lorenz curve will be given attention.

Measures of location, dispersion and skewness will also be examined. Probability, sets, experiments, events, sample space, conditional probability, statistical independence, random variable and elementary treatment of distributions, inclding Binomial, Poisson and Chi-square distributions will be covered. Simple Random sampling, the central limit theorem and Normal distribution will also be treated.

We will also focus on estimation and tests of significance, including correlation coefficient, rank correlational point estimation, biasedness, consistency and Type I and II errors as well as Simple linear regression, tests of hypotheses concerning means, proportions, variances, significance levels and t and f tests. Confidence intervals for means, association and contingency tables will also be looked at.