In week 3, we will further cover concepts in Mathematical Statistics and study the relationship between multiple explanatory variables in more detail. In particular, we will focus on Analysis of Variance (ANOVA). We will look at how Hypothesis Testing and Regression Analysis are performed and better understand tests for Statistical Significance.
To learn about this program, visit
https://www.bignumber.xyz/certificate-programs/statistics-probability-theory-and-r
Part I – 1 hour, 10 mins
Choosing Statistical Tests
Linear Regression Example
Interpreting Regression Models
Goodness of Fit
Break – 10 mins
Part II – 1 hour, 10 mins
Point Estimation and Confidence Intervals
Maximum Likelihood
Statistical Testing in R
Analysis of Variance (ANOVA) in R
Further Study: Bayesian Statistics, Dynamic Programming, Random Vectors
Topics in Statistical Learning (Machine Learning)
