Quantitative Techniques

Comprehensive and well organised notes on Quantitative techniques, covering, key concepts, formulas and problem solving methods useful for commerce and management students.

Quantitative Techniques Assignment consists of questions and solutions in finding class width, drawing frequency table, calculating class boundaries, class midpoints, drawing a histogram and a relative-frequency histogram, drawing an orgive curve, defining theoretical probability distribution and how it is useful in business decision-making, explaning the process of hypothesis testing, detailing clearly under which condition the Normal distribution may be used, explaining the difference betwee...

Optimization and forecasting presentation is about graphical solutions, moving averages, decomposition models, forecasting method, semi averages, advantages and disadvantages, simple moving average, even period moving average, advantages and disadvantages, double moving average and weighted moving average.

Probability and Optimisation Techniques presentation covers subjects about sample spaces, events, approaches to probability, conditional probability, independent events, Bayes' theorem or rule, permutations and combinations, operations research, formulation of LPP and graphical solutions.

Statistical Tools and Probability Theory presentation is about arithmetic mean, weighted mean, mean for grouped frequency, median, rules to calculate the median, grouped data, mode, grouped by frequency data, range, variance and standard variation, grouped data, covariance, correlation, upper and lower quartile, rules to calculate the upper quartile and the lower quartile, grouped distribution, the interquartile range, coefficient of variation, skewness, kurtosis and data representation, bar cha...