Perhaps the most misunderstood term in science. In a lecture setting, you'll learn its strict definition: the probability of seeing your data (or more extreme data) given that the null hypothesis is true. 4. Sufficiency and Efficiency
If you are stepping into this field, here is what you can expect to encounter in a typical curriculum and how to master the material. 1. The Core Pillars: Probability and Theory mathematical statistics lecture
Setting up the "status quo" against the "claim." Perhaps the most misunderstood term in science
The "meat" of most mathematical statistics lectures is . This is where we use sample data to guess unknown values about a population. Sufficiency and Efficiency If you are stepping into
The mathematical assurance that as your sample size grows, your sample mean gets closer to the population mean. 2. Parameter Estimation: The Heart of the Course