Learning Statistics with R Book Club
Welcome
Book club meetings
Pace
1
Why do we learn statistics?
1.1
SLIDE 1
1.2
Meeting Videos
1.2.1
Cohort 1
2
A brief introduction to research design.
2.1
SLIDE 1
2.2
Meeting Videos
2.2.1
Cohort 1
3
Getting started with R.
3.1
SLIDE 1
3.2
Meeting Videos
3.2.1
Cohort 1
4
Additional R concepts.
4.1
SLIDE 1
4.2
Meeting Videos
4.2.1
Cohort 1
5
Descriptive statistics.
5.1
SLIDE 1
5.2
Meeting Videos
5.2.1
Cohort 1
6
Drawing graphs.
6.1
Overview
6.2
John Snow’s cholera project
6.3
Data used for making the plots
6.4
Histograms
6.5
Stem and Leaf plots
6.6
Boxplots
6.7
Scatterplots
6.8
Bar Graphs
6.9
Conclusions
6.10
Meeting Videos
6.10.1
Cohort 1
7
Pragmatic matters.
7.1
SLIDE 1
7.2
Meeting Videos
7.2.1
Cohort 1
8
Basic programming.
8.1
SLIDE 1
8.2
Meeting Videos
8.2.1
Cohort 1
9
Introduction to probability.
9.1
SLIDE 1
9.2
Meeting Videos
9.2.1
Cohort 1
10
Estimating unknown quantities from a sample.
10.1
Sampling and Estimations
10.1.1
Sample statistics
10.1.2
The IQ example
10.2
Meeting Videos
10.2.1
Cohort 1
11
Hypothesis testing.
11.1
What is Hypothesis testing
11.2
How to set the hypotheses
11.3
Case Study: Students heights
11.3.1
Hypotheses
11.3.2
Sample data (heights of students)
11.3.3
Choose a Significance Level (α)
11.3.4
Perform the Hypothesis Test
11.3.5
Make a Decision
11.4
Evaluate the results of a statistical hypothesis testing
11.5
Conclusions
11.6
Meeting Videos
11.6.1
Cohort 1
12
Categorical data analysis.
12.1
SLIDE 1
12.2
Meeting Videos
12.2.1
Cohort 1
13
Comparing two means.
13.1
SLIDE 1
13.2
Meeting Videos
13.2.1
Cohort 1
14
Comparing several means (one-way ANOVA).
14.1
Introduction
14.2
Example: Clinical Trial
14.3
Use ANOVA
14.4
The sum of squares
14.5
Example3
14.6
Testing available functions
14.7
Apply a correction for multiple comparisons
14.7.1
Bonferroni corrections
14.7.2
Holm corrections
14.7.3
Normality, Homogeneity of variance and Independence
14.8
Meeting Videos
14.8.1
Cohort 1
15
Linear regression.
15.1
SLIDE 1
15.2
Meeting Videos
15.2.1
Cohort 1
16
Factorial ANOVA.
16.1
SLIDE 1
16.2
Meeting Videos
16.2.1
Cohort 1
17
Bayesian statistics.
17.1
SLIDE 1
17.2
Meeting Videos
17.2.1
Cohort 1
18
Epilogue.
18.1
SLIDE 1
18.2
Meeting Videos
18.2.1
Cohort 1
Published with bookdown
Learning Statistics with R Book Club
Chapter 12
Categorical data analysis.
Learning objectives:
THESE ARE NICE TO HAVE BUT NOT ABSOLUTELY NECESSARY