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 Reading Questions (CANVAS)
|
Videos
Chapter 1 Summary (above)
Example - Page 6 (above)
|
Vocabulary
|
Chapter 2: Displaying and Describing Categorical Data
Learning Targets
- How do you create and interpret data tables/charts for categorical data?
- How do you use contingency tables to determine marginal and conditional distribution?
- Chapter 2 Reading: Pages 14 - 20 (CANVAS)
- Chapter 2 Reading: Pages 20 - 32 (CANVAS)
- Introduction Discussion Board
- Chapter 1 & 2 Quiz - Wednesday, August 29th
|
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.
- Chapter 3 Reading, Pages 43-51 (Stop after Just Checking)
- Chapter 3 Reading, Pages 51-58 (Stop after TI Tips)
- Chapter 3 Reading, Pages 58-65 (Stop after TI Tips)
- Chapter 3 Quiz
Documents
| Standard Deviation by Hand Worksheet |
| Matching Plots to Variables |
|
Videos
Boxplots (above)
Page 63 Step-by-Step Example (below)
|
Vocabulary
|
Chapter 4: Understanding and Comparing Distributions
Learning Targets
- 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
- Chapter 4 Reading, pages 83 - 89 (Stop before Timeplots)
- Chapter 4 Reading, pages 89 - 95
- Chapter 4 Quiz - Thursday, September 13th
- Unit 1 Test (Chapters 1 - 5) - Wednesday, September 26th
| Chapter 4 Practice |
|
Videos
Understanding Standard Deviation (above)
Page 86 Step-by-Step Example (above)
|
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 Creat Normal Probability Plot
- Chapter 5 Reading, pages 107 - 113
- Chapter 5 Reading, pages 114 - 118
- Chapter 5 Reading, pages 119 - 129
- Unit 1 Test (Chapters 1 - 5) - Wednesday, September 26th
Documents
| Chapter 5 Notes |
|
Videos
Introduction to the Normal Curve (above)
Calculating Percents using a Normal Curve (above)
Page 113 Step-by-Step Example (above)
Page 117 Step-by-Step Example (above)
Page 120 Step-by-Step Example (above)
Page 122 Step-by-Step Example (above)
Page 123 Step-by-Step Example (above)
|
Vocabulary
|