University of Cape Town
Cape Town, South Africa
Area of Study
Taught In English
Course entry requirements: A pass in any of MAM1004F/S or MAM1005H. In addition students will be admitted to STA1007S if they are concurrently registered for MAM1000W.
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Host University Units18
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units4 - 5
Hours & Credits
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 Excel. The course is the equivalent of STA1000S, in a biological setting.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.