1 Introduction
- 1.1 How to use these lecture notes
2 Data story: Women and children first on the Titanic?
3 Getting Started with R
4 R Markdown and R Notebooks
5 More R Basics: Data structures
6 Introduction to ggplot2
7 Introduction to the dplyr package
8 Data wrangling, Part I
9 Data wrangling, Part II
10 Functions and control flow statements
11 Frequency Distributions and Descriptive Statistics
12 Joint Frequency Distributions and Measures of Association
13 Introduction to Probability
14 Introduction to Sampling Distributions, Part I
15 Introduction to Sampling Distributions, Part II
16 Introduction to hypothesis testing
17 Introduction to confidence intervals
18 Normal distributions
19 Comparing sample means
20 Analysis of Variance
21 Violations of Assumptions
22 Bivariate Linear Regression
23 Multiple regression
24 Logistic regression

Biology 304: Biological Data Analysis

Chapter 11 Frequency Distributions and Descriptive Statistics

See the lecture slides.