### About The Course

Statistics is a thriving discipline that provides the fundamental language
of all empirical research. Biostatistics is simply the field of statistics
applied in the biomedical sciences.

This course puts forward key mathematical and statistical topics to help students understand biostatistics at a deeper level. After completing this course, students will have a basic level of understanding of the goals, assumptions, benefits and negatives of probability modeling in the medical sciences. This understanding will be invaluable when approaching new statistical topics and will provide students with a framework and foundation for future self learning.

Topics include probability, random variables, distributions, expectations, variances, independence, conditional probabilities, likelihood and some basic inferences based on confidence intervals.

This course puts forward key mathematical and statistical topics to help students understand biostatistics at a deeper level. After completing this course, students will have a basic level of understanding of the goals, assumptions, benefits and negatives of probability modeling in the medical sciences. This understanding will be invaluable when approaching new statistical topics and will provide students with a framework and foundation for future self learning.

Topics include probability, random variables, distributions, expectations, variances, independence, conditional probabilities, likelihood and some basic inferences based on confidence intervals.

### Frequently Asked Questions

Is calculus really necessary for this class?

Yes.

What resources will I need for this class?

Please download and install the R statistical programming language.

Yes.

What resources will I need for this class?

Please download and install the R statistical programming language.

### Recommended Background

Knowledge of calculus, set theory and a moderate level of mathematical
literacy are prerequisites for this class. A small amount of programming
is useful, but not required.