Statistics abounds in our everyday lives, from economics to physics, accountancy to medicine, business to technology, geography to law, social science to politics, a veritable all-embracing giant. No discipline does well that disavows it or belittles it. Though many occupations may not require specialized statistics degrees, they demand at least a working understanding of statistics, and able competency with data crunching, statistical software and results management.
This course gives students an introduction from the basics to mid-level statistics and applications in running analyses through manual means plus Excel, with interpretation through practical cases and examples. By the end of the course, students will have mastered descriptive and summary statistics, probablity axioms, discrete univariate probability distributions, continuous univariate distributions, regression, means, variance, covariance, sampling distributions, central limit theorems, point v, interval estimations, one-, two-, multi-sample hypothesis tests; and:
- know the principles and elements of basic statistics;
- summarise data sets into meaningful information;
- perform appropriate statistical procedures and write sound interpretations for use in practical decision-making.