Stat 301: Probability and Statistics
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Syllabus
Dates
Lectures
Module 1: Introduction to the discipline of statistics
Module 2: Data displays and summary statistics
Module 3: Probability
Module 4: Random Variables
Module 5: Continuous Distributions
Module 6: Joint Distributions
Module 7: Sampling Distributions of Statistics
Module 8: 1-Sample Confidence Intervals (CIs)
Module 9: 1-Sample Hypothesis Tests
Module 10: 2-Sample Methods
Module 11: Categorical Data Analyses
Module 12: Simple Linear Regression (slr)
Quiz Reviews
Assignments
R
R Modules
R Code
R Markdown
Data
Links
Learning Outcomes
Learn about other continuous distributions. Generic, uniform, exponential, Poisson process, and normal
Readings
Chapter 5 p. 307-360 (but we will be using calculus rather than the exact approach as the IntroStat book)
Chapter 6: p. 361-380
Key Concepts/Questions
pdf and cdf of distributions
EX, VX, SDX
for distributions
Poisson process
When these distributions are useful
Abbreviated Lecture Notes
New Terms
Generic
Uniform
Exponential
Normal distribution
Links
Statistical Distribution Tables
statdistributions.com
Home
Contact
Syllabus
Dates
Lectures
Module 1: Introduction to the discipline of statistics
Module 2: Data displays and summary statistics
Module 3: Probability
Module 4: Random Variables
Module 5: Continuous Distributions
Module 6: Joint Distributions
Module 7: Sampling Distributions of Statistics
Module 8: 1-Sample Confidence Intervals (CIs)
Module 9: 1-Sample Hypothesis Tests
Module 10: 2-Sample Methods
Module 11: Categorical Data Analyses
Module 12: Simple Linear Regression (slr)
Quiz Reviews
Assignments
R
R Modules
R Code
R Markdown
Data
Links