STA1007S - Introductory Statistics For Scientists

18 credits at NQF level 5

Entry Requirements:

A pass in any of MAM1004F/S or MAM1005H. In addition students will be admitted to STA1007S if they (1) are concurrently registered for MAM1000W, or (2) are concurrently registered for MAM1005H or (3) have failed but obtained a DP for MAM1004F and are concurrently registered for an equivalent Mathematics course during the second semester, or (4) have a supplementary examination for MAM1004F that will be written in November of the year of registration.

Course Outline:

This course aims to provide an introduction to statistics for Science students, and the topics covered include: exploratory data analysis and summary statistics. Set theory. Probability: conditional probabilities, independence, Bayes theorem. Random variables. Probability mass and density functions. Binomial, Poisson, exponential, normal and uniform distributions. Sampling distributions. Confidence intervals. Hypothesis testing: Z-test and t-test (means, difference between means for independent and dependent samples). Chi-square test for independence and for Goodness-of-fit. Meaning of p-values. Determining sample size. Simple linear regression and measures of correlation. Practical data analysis will be taught using R. The course is the equivalent of STA1000S, in a biological setting.