Displaying and describing data
One of the first things we do in statistics is try to understand sets of data. This involves plotting the data in different ways and summarizing what we see with measures of center (like mean and median) and measures of spread (like range and standard deviation). This topic focuses on concepts that are often referred to as “descriptive statistics”.
Modeling distributions of data
The normal distribution is the most commonly used model in all of statistics. Learn how to measure position using z-scores and find what percent of data falls where in a normal distribution.
Describing relationships in quantitative data
If we want to explore a relationship between two quantitative variables, we make a scatterplot of the data. The fun doesn’t stop there. We describe pattern, talk about the type of correlation we see, and sometimes fit a line to the data so we can use the pattern to make predictions.
Study design focuses on collecting data properly and making the most valid conclusions we can based on how the data was collected. This topic covers explore samples, surveys, and experiments.
Probability tells us how often some event will happen after many repeated trials. This topic covers theoretical, experimental, compound probability, permutations, combinations, and more!