Introduction to Statistics
- Chapter 1: Introduction to Data
- 24 WeBWorK Problems: introdata.tar, and pdf preview
- Slides: Day 01: The M&M Experiment
Day 01 Big Cup Experiment
- Lab: Descriptive Statistics, Histograms, and Statistical Thinking
- Video: Data Description: Mean, Median, Mode, Percentiles, Quartiles, Standard Deviation, Five Number Summary, Box Plots, Histograms
- Video: Bad Graphs 1: Bar and Pie
- Video: Bad Graphs 2: Line and Scatter
- Video: Percentiles in Excel
- Video: Histograms: Excel and Tinkerplots
- Video: Histograms in Excel with Data Analysis ToolPack
- Video: Frequencies and Histograms in Excel
- Video: Bar Charts and Pie Charts in Excel
- Video: Advanced Sorting in Excel
- Slides: Descriptive Statistics
- Slides:
Coin Flips and Strange Data
- Video: Coin Flip Simulation Tinkerplots
- Clicker Questions: Displaying Distributions with Graphs, Teacher's Edition
- Clicker Questions: Describing Distributions with Numbers, Teacher's Edition
- Slides: Sampling Distributions
- Slides: Controlled Experiments and Course Project
- Clicker Questions: Design of Experiments, Teacher's Edition
- Clicker Questions: Sampling Design, Teacher's Edition
- Video: Survey Questions
- Video: So You Want To Gather Some Data
- Video: Quantitative Data
- Slides: Day 05 Understanding Sampling Distributions
- Lab: Experiments, Sampling Distributions, and p-values
- Video: Interpreting a P value
- Video: Simulation and P-Values (TinkerPlots)
- Lab: Our World in Data, and Data Files
- Chapter 2: Sampling Distributions
Simulation and Probability: Foundations for Inference
- Chapter 3: Inference with Proportions
- Chapter 4: Inference for Numeric Data
- Chapter 5: Linear Regression
- Further Topics
- Introduction to Statistics with "R Studio" This activity teaches basic commands in R.
- Analyzing Ozone Data In this lab, students are introduced to the EPA database of air quality data, import this into R, and analyze data from Portland, Oregon and Salt Lake City, Utah in 2010.
- Regression and Patterns of Bird Species In this lab, students analyze data on bird species found in regions of the Andes Mountains. Students use a linear regression analysis to determine which of the physical descriptive data categories (Area, base
altitude, elevation, etc.) best explains the total number of species found in each region.
- ANOVA - Dental Gold, Rat Diets, and Lacrosse Helmets
- One Way ANOVA - Animal Genome Sizes Using the Animal Genome Size Database found at http://www.genomesize.com/ select data on the genome size (measured in picograms of DNA per haploid cell or c value) of crustaceans. The cause of variation in genome size has been a puzzle for a long time; use these data to answer the biological question of whether some families of crustaceans have different genome sizes than others. Export to excel and group by class. Test the assumptions and run a one way anova to look for differences amongst families.
YouTube Statistics Playlists
This project has been made possible through the generosity of the W.M. Keck Foundation.
kcline@carroll.edu