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: Pages 1 - 8
| Chapter 1 Notes |
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Videos
Chapter 1 Summary (above)
Example - Page 6 (above)
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Vocabulary
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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
- Chapter 2 Reading: Pages 20 - 32
- Chapter 1 & 2 Quiz - Friday, 8/30
| Chapter 2 Notes |
| Chapter 1 & 2 Sub Practice |
| Chapter 1 & 2 Quiz Review |
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Videos
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Vocabulary
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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
- Chapter 3 Reading: Pages 51 - 55
- Chapter 3 Reading: Pages 55 - 62
- Chapter 3 Reading: Pages 62 - 70
- Chapter 3 Quiz - Tuesday, 9/11 (Beginning of class)
- Unit 1 Test (Chapters 1 - 5) - Thursday, 9/26
Documents
| Chapter 3 Notes |
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Videos
Boxplots (above)
Page 63 Step-by-Step Example (below)
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Vocabulary
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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
- Read Pages 83 - 89 & answer questions on GoFormative website
- Read Pages 89 - 95 & answer questions on GoFormative website
- Unit 1 Test (Chapters 1 - 5) - Thursday, September 26th
| Chapter 4 Notes Outline |
| Chapter 4 Classwork (Sub day) |
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Videos
Understanding Standard Deviation (above)
Page 86 Step-by-Step Example (above)
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Vocabulary
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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
- Read Pages 107 - 113 & Answer questions on GoFormative website
- Read Pages 114 - 125 (stop after Step-by-Step Example) & answer questions on GoFormative website
- Read Pages 125 - 129 & answer questions on GoFormative website
- Unit 1 Test (Chapters 1 - 5) - Thursday, September 26th
Documents
| Chapter 5 Notes Outline |
| What is a z-score? |
| Normal Model BIG Practice |
| Chapter 5 Classwork |
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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)
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Vocabulary
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