Statistical Inference
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Module overview
In the statistical inference unit you will gain an in-depth understanding of statistical distribution and hypothesis testing. This includes Binomial, Poisson, Normal, Log Normal, Exponential, t, F and Chi Square distributions, as well as parametric and non-parametric tests used in research problems. The unit will help you to formulate research hypotheses, select appropriate tests for them, write R and Python programs to perform hypothesis testing and draw inferences using the outputs generated.
assessment requirments
In order to complete this module successfully you will need to
- Attend the scheduled live classes (or view the recorded session)
- Watch all learning content on the platform
- Complete all topic assignments
- Submit case study answers
- Pass the module exam with a minimum grade of 50%
