Stat 301: Probability and Statistics
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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
Create/Read in data
Create vectors:
code
output
Create dataset
: code output
Access built-in datasets
: code output
Read in external datasets (.txt, .csv)
: code output
Basics: graphs, summaries, misc. calculations
Data manipulations and creation
: code output
Descriptive statistics (basic summary statistics)
: code output
Graphs I
: code output
Graphs II
: code output
Probability
Generic1
:
code
output
"Named" discrete distributions:
code
Normal:
code
CLT
CLT simulation
: code output
CLT application
: code output
Analyses: CIs and Hypothesis Tests
One sample mean with z
: code output
One sample mean with t
: code output
One sample proportion
: code output
Two sample independent means
: code output
Dependent means
: code output
Two sample proportions
: code output
Goodness-of-fit
: code output
Independence
: code output
Homogeneity
: code output
Anova
: code output
slr
: code output
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