Standard #: MA.912.S.3.1 (Archived Standard)


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Read and interpret data presented in various formats. Determine whether data is presented in appropriate format, and identify possible corrections. Formats to include:
  • bar graphs
  • line graphs
  • stem and leaf plots
  • circle graphs
  • histograms
  • box and whiskers plots
  • scatter plots
  • cumulative frequency (ogive) graphs


Remarks


Example: The chart below shows the average daily high and low temperatures in an Australian city. What is the average high temperature in January? What is the average low temperature in March? Which month has higher temperatures, January or April? Can you think of a reason for this? Example: Compare the distributions of pulse rates for males and females by interpreting the following box and whisker plots:





General Information

Subject Area: X-Mathematics (former standards - 2008)
Grade: 912
Body of Knowledge: Statistics
Standard: Summarizing Data (Descriptive Statistics) - Learn to work with summary measures of sets of data, including measures of the center, spread, and strength of relationship between variables. Learn to distinguish between different types of data and to select the appropriate visual form to present different types of data.
Date Adopted or Revised: 09/07
Date of Last Rating: 06/07
Status: State Board Approved - Archived

Related Resources

Lesson Plan

Name Description
Radioactive Decay: Is It Safe for Us to Stay?

Students will collect data using inexpensive split peas and black beans in order to model how to calculate the amount of a radioactive element remaining after a specific number of half-lives have passed. Students will then use this data to outline and create a response to a scenario-based writing prompt.

Virtual Manipulative

Name Description
Histogram Tool

This virtual manipulative histogram tool can aid in analyzing the distribution of a dataset. It has 6 preset datasets and a function to add your own data for analysis.

Student Resources

Virtual Manipulative

Name Description
Histogram Tool:

This virtual manipulative histogram tool can aid in analyzing the distribution of a dataset. It has 6 preset datasets and a function to add your own data for analysis.



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