BME 120 has one of the highest fail rates among all BSc modules, which is why we’ve created the ultimate resource package to help you not just pass, but excel. This all-in-one bundle includes comprehensive notes with clear explanations of all topics, practice questions to test your understanding, free past papers and 2024 class tests, as well as valuable resources to help you prepare for practicals everything you need to master BME 120 in one place.

The breakdown of the module is as follows: Simple statistical analysis: Data collection and analysis: Samples, tabulation, graphical representation, describing location, spread and skewness. Introductory probability and distribution theory. Sampling distributions and the central limit theorem. Statistical inference: Basic principles, estimation and testing in the one- and two-sample cases (parametric and non-parametric). Introduction to experimental design. One- and twoway designs, randomised blocks. Multiple statistical analysis: Bivariate data sets: Curve fitting (linear and non-linear), growth curves. Statistical inference in the simple regression case. Categorical analysis: Testing goodness of fit and contingency tables. Multiple regression and correlation: Fitting and testing of models. Residual analysis. Computer literacy: Use of computer packages in data analysis and report writing.