Course description:
This course will cover the following statistics topics: Statistics Basics - Simple Random Sampling - Other Sampling Designs- Experimental Designs - Organizing Data - Descriptive Measures – Probability - Random Variables and Sampling Distributions - Discrete Random Variables.
Course Aims:
This course aims to enable the student to:
- Understand sampling distributions of sample means and sample proportions.
- Estimate a population mean and a population proportion from a sample.Compute simple probabilities of events.
- Distinguish marginal, joint, and conditional probabilities.
- Understand and apply the concept of independence of events.
Course outcomes:
Upon completion of this course, students should be able to:
- Compute probabilities by modeling sample spaces.
- Apply rules of permutations and combinations.
- Apply additive and multiplicative laws and conditional probability.
- Compute probabilities based on practical situations using the binomial and normal distributions.