BCMB 307 — Data Handling & Interpretation

Biochemistry, Cell and Molecular Biology · University of Ghana

Data types; Discrete and ordinate data. Simple definitions and Descriptive Statistics; mean, standard deviation, standard error of mean etc. Statistical principles: Importance of statistics; sampling from populations; Gaussian and non- Gaussian distributions; confidence intervals; p-value; statistical significance; statistical power; Baysian perspective on interpreting statistical significance; Data presentation tools: Tables, graphical types such as histograms, scatter plots, bar graphs, box plots etc Data analysis: Multiple comparisons; analysis of one group; analysis of two or more groups; Analysis of variant (ANOVA); Analysis of survival data; Categorical data (contingency tables); odds ratios and proportions tests; correlation and linear regression; choosing the right statistical test. Experimental Design: Response variables (measurements of interest); factors or treatments (influencing variables); number of replicates; type of randomization; time and place of the measurements; sources of error. Statistical packages and their applications: Excel, Minitab etc.

Credits

1

Level

Level 300

Semester

Semester One

Course details from University of Ghana Volume 3 Handbook for the Bachelor's Degree: Course Descriptions for Programmes in the Sciences (2017).