Topics
8 - Foundation for inference
Brightspace LMS
MSDS Program Page
CUNYfirst
Announcements
Schedule
Course information
Syllabus
Instructor
Data Project
Software
Topics
1 - Introduction to R and RStudio
2 - R coding basics
3 - Data (importing and structure)
4 - Reshaping data
5 - Data visualization with ggplot2
6 - Probability
7 - Distributions
8 - Foundation for inference
9 - Central limit theorem
10 - Inference for proportions
11 - Inference for two-way tables
12 - Inference for numerical data
13 - Analysis of variance
14 - Correlation
15 - Wrap up / Final Presentations
Topics
8 - Foundation for inference
Foundation for inference
Readings
OpenIntro Statistics chapter 5
Assignments
Sampling Distribution Lab
Additional Resources
7 - Distributions
9 - Central limit theorem