Quantitative methods is an overarching name given to a set of techniques that provide assistance to management decision making and control. With that said, quantitative methods also employ the techniques associated with statistical reasoning, in particular, statistical reasoning about factors that can be measured and quantified. In that regard, the statistical techniques can be divided into two broad categories: descriptive and inferential. Statistical descriptive analysis allows us to understand the characteristics of factors by representing them using visual tools, such as, bar charts, histograms, scatterplots, and box-and-whisker plots; as well allowing us to summarise those characteristics with single numerical values, such as those typical measures of centre: mean, median, and the mode, and those typical measures of dispersion: range, variance, and the standard deviation. Inferential statistics on the other hand allows us to infer values for unknown population parameters using the observed values associated with samples drawn from those respective populations. For example, techniques such as independent samples testing, dependent samples testing, and tests of independence, as well as many more inferential procedures.
This LibGuide is dedicated to providing additional resources and support to students studying Quantitative Methods. The LibGuide provides access to a large set of instructional videos, developed by the Mathematics Development and Support Service. in addition, to providing digital access to a dedicated Quantitative Methods statistical formulae and tables booklet. Students wishing to book appointments can also use the "Book an Appointment" facility that will allow you to enrol on weekly support classes, as well as organising dedicated small group supports.