**Unit 1: Exploring & Describing Data**

**Chapter 1: Stats Starts Here**

**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?

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__Calculator Processes__- Entering data, changing datum, adding more data, deleting datum, clearing data lists, finding lost data lists

**Documents** Chapter 1 Notes Outline | |

File Size: | 153 kb |

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VideosChapter 1 Notes:Chapter 1 Summary: Example - Page 6 Explained: |
Vocabulary |

**Chapter 2: Displaying and Describing Categorical Data**

**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?

**Documents** Chapter 2 Notes | |

File Size: | 186 kb |

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VideosChapter 2 Notes:Segment Bar ChartsSkew the Script Lesson 1.2Area PrincipleChapter 2: Contingency Tables PracticeSimpson'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?

**Calculator Skills**- 5-Number Summaries, mean, standard deviation, creating histograms, creating boxplots.

**Documents** Chapter 3 Notes | |

File Size: | 200 kb |

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VideosChapter 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**- What is important to describe when comparing boxplots?
- When working with outliers, how do you know what to describe and when to describe it?

**Calculator Skills**- Creating parallel boxplots

**Documents** Chapter 4 Notes Outline | |

File Size: | 319 kb |

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VideosChapter 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?

**Calculator Skills**- Finding Normal Percentages, Finding Normal Cutpoints, and Create Normal Probability Plot

**Documents** Chapter 5 Notes Outline | |

File Size: | 65 kb |

File Type: |

What is a z-score? | |

File Size: | 493 kb |

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VideosChapter 5 Notes, Part 1Chapter 5 Notes, Part 2 Chapter 5 Notes, Part 3Chapter 5 Notes, Part 4Page 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 |