Unit 1: Exploring & Describing Data
Chapter 1: Stats Starts Here
Learning Targets
- List and describe what is needed to determine the context of data.
- What are the two types of variables and how do they differ from each other?
- Entering data, changing datum, adding more data, deleting datum, clearing data lists, finding lost data lists
| Chapter 1 Notes Outline |
|
Videos
Chapter 1 Notes:
Chapter 1 Summary: Example - Page 6 Explained: |
Vocabulary
|
Chapter 2: Displaying and Describing Categorical Data
Learning Targets
Documents
- How do you create and interpret data tables/charts for categorical data?
- How do you use contingency tables to determine marginal and conditional distribution?
Documents
| Chapter 2 Notes |
|
Videos
Chapter 2 Notes:
Segment Bar Charts Skew the Script Lesson 1.2 Area Principle Chapter 2: Contingency Tables Practice Simpson's Paradox Explanations (2 videos): |
Vocabulary
|
Chapter 3: Displaying & Summarizing Quantitative Data
Learning Targets
- How do you create and interpret data tables/charts for quantitative data?
- What is needed to describe distributions of quantitative data?
- When do you use the mean or median to describe quantitative data?
- 5-Number Summaries, mean, standard deviation, creating histograms, creating boxplots.
Documents
| Chapter 3 Notes |
|
Videos
Chapter 3 Notes & Examples, Part 1:
Histograms, Stem-and-Leaf, and Dotplots Chapter 3 Notes & Examples, Part 2: 5-Number Summary and Boxplots Chapter 3 Notes & Examples, Part 3: Describing Quantitative Data (SOCS) Chapter 3 Notes and Examples, Part 4: Calculating Standard Deviation by Hand Describing Histograms: Boxplots Help (from Textbook): Page 63 Step-by-Step Example: |
Vocabulary
|
Chapter 4: Understanding and Comparing Distributions
Learning Targets
Documents
- What is important to describe when comparing boxplots?
- When working with outliers, how do you know what to describe and when to describe it?
- Creating parallel boxplots
Documents
| Chapter 4 Notes Outline |
|
Videos
Chapter 4 Notes & Examples:
Page 86 Step-by-Step Example: |
Vocabulary
|
Chapter 5: The Standard Deviation as a Ruler & the Normal Model
Learning Targets
- How does shifting and re-scaling data affect the measures of center and spread?
- How do you use z-scores to determine how unusual or surprising a value is?
- What is the process of determining the proportion of data that lie above, below, or between data values?
- Finding Normal Percentages, Finding Normal Cutpoints, and Create Normal Probability Plot
Documents
| Chapter 5 Notes Outline |
| What is a z-score? |
|
Videos
Chapter 5 Notes, Part 1
Chapter 5 Notes, Part 2 Chapter 5 Notes, Part 3 Chapter 5 Notes, Part 4 Page 113 Step-by-Step Example Page 117 Step-by-Step Example Page 120 Step-by-Step Example Page 122 Step-by-Step Example Page 123 Step-by-Step Example |
Vocabulary
|