OER Introductory Statistics using GeoGebra
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Structuring Note
This structure for the below contents may not be optimal for a full class. Development and Refinement will continue during the Spring 2025 semester. The grant deadlines we were working with didn't allow as much time as we would have liked to have a more complete project.
Unit One Content
Chapter 1: Introduction to Statistical Thinking
- Introduction to Data and Statistics
- Parameters and Statistics
- Classifying Data Types
- Levels of Measurement
- Data Collection and Bias
- Sampling Techniques and Errors
- Experimental Design
- Chapter 1 Lecture Notes Complete
Chapter 2: Organizing and Summarizing Data
- GeoGebra Tools and Datasets for Chapter 2
- Creating Frequency Distributions
- Creating Relative Frequency Distributions
- Creating Cumulative Frequency Distributions
- Creating Frequency Histograms
- Shapes of Frequency Distributions
- Constructing Stem-and-Leaf Plots
- Constructing Dot Plots
- Constructing Time Series Plots
- Constructing Bar Graphs
- Creating Pie Graphs
- Misleading Graphs
- Chapter 2 Lecture Notes Complete
Chapter 3: Descriptive Statistics
- Calculating Mean of a Dataset
- Calculating Median of a Dataset
- Calculating Mode of a Dataset
- How Skewness Affects the Mean, Median, and Mode of a Dataset
- Calculating a Weighted Mean
- Is Mean Enough to Describe a Dataset?
- Calculating the Range of a Dataset
- Calculating Deviations of a Dataset
- Understanding Standard Deviation
- Finding Outliers for Normal Distributions
- Empirical Rule
- Chebyshev Inequality
- Calculating a Percentile
- Calculating a \(Z\)-Score
- Calculating the Five-Number Summary
- Finding Outliers for Skewed Distributions
- Creating a Boxplot
- Chapter 3 Lecture Notes Complete