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Algebra 2 Unit 5

Page history last edited by Christine Koerner 3 years, 3 months ago

Algebra 2 Unit 5:  Statistics and Data 

Unit Driving Question 

How can data and statistics be used to describe and interpret real-world situations?


Essential Questions 

  1.  How can data be used to display information?
  2.  How can data be used to skew information?
  3.  How are the mean and standard deviation related to a normal distribution?


Launch Task 

Big Ideas for Development Lessons 

Closure & Assessment 


1 Lesson 

4 Weeks (approximately 1 week per big idea) 

1 Week 




Click on the link below to see each Big Idea's Lesson Overview (includes links to teacher notes and student activities) 

  1. Data can represent and statistics can interpret real-world situations.

1. Formative Assessment: Fragmented Sentence

2. Re-engagement: (not provided)

3. Unit 5 Assessment: (not provided)


Big Idea 1: Data can represent and statistics can interpret real-world situations.

OAS-M: A2.D.1.1 ,A2.D.1.3A2.D.2.1A2.D.2.2 

Lessons and Additional Activities


Big Idea 1 Lessons 1-5 Overview (includes links to teacher notes and student activities)

Evidence of Understanding 


Recognize and explore connections between the mean and standard deviation of a data set and the graph of a normal distribution.

  • Use the mean and standard deviation of a data set to fit it to a normal distribution.

    • Use technology to calculate the mean and standard deviation of a data set.

  • Apply percentages within one, two and three standard deviations of the mean to a set of real-world data.

Recognize and explore methods of displaying data.

  • Choose representations for communicating statistics based on the appropriateness of these representations.

    • Recognize whether a discrete or continuous graph is appropriate and then create the graph.

  • Analyze distortions in data displays.

    • Identify source of the data.

    • Identify design of the study.

    • Show how graphs and data can be distorted to support different points of view.

  • Identify and explain misleading uses of data in real-world scenarios.

    • Recognize the difference between correlation and causation.

    • Describe how different representations (graphs, charts, tables, formulas) can be used to communicate and potentially mis-communicate different meaning about statistics.




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