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As with its predecessors, this fourth edition of Statistical Methods and Calculation Skills aims to equip students with the skills to apply statistical analysis and quantitative techniques in the research and working environments, and to make effective decisions.
Part A: – statistical methods – covers the collection and presentation of data; descriptive and inferential methods of analysis; index numbers; regression and correlation analysis; time series; probability and probability distributions; statistical estimation; and hypothesis testing.
Part B: Calculation skills are revised in Part B, which deals with elementary calculations such as exponents, decimals, scientific notation, logarithms and rounding. Students with no mathematics background can learn how to do basic calculations before going on to statistical applications. For some courses, calculations such as interest, future values of investments, graphs and ratios form part of the core module and are also covered here.