Summary
These slides are a compilation of all the slides from the course.
Precalculus
Statistics for Life Sciences 2
These slides are a compilation of all the slides from the course.
The slides give an introduction to sampling and different types of biases and why in general sampling is kinda hard.
The slides cover different descriptive statistics.
The slides cover Bayes rule and conditional probabilities.
The slides cover what the binomial distribution is, the Bernoulli distribution, and different examples of both.
The slides cover the normal distribution and theoretical properties of it. Additionally, we look at how to standardize our data so we can use z-tables, or alternatively calculators or R-software.
The slides cover sampling distributions of the sample mean and the sample proportion. We know are investigating our sample statistics as random variables and study their associated distributions. In this chapter, we look at the relationship between sample size and how well we can estimate a true population parameter value with a statistic. We also introduce the central limit theorem and try to frame its importance to the study of statistics. These notes are a little dull, but they're is a cute pup thrown in to keep things interesting.
The slides cover confidence intervals, their interpretation, and what to do when σ is known or unknown. We introduce the student's t-distribution and explore some properties of it.
The slides for this week cover inverse functions, plotting, factorization, even/odd functions, and simplification.