6th Grade Statistics & Data 4 - Histogram Powerpoint Lesson

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Presentation (Powerpoint) File (6 MB|72 pages)
Standards
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Description

Sixth Grade Statistics 4 - Histogram - This is perfect for distance learning on Zoom or similar formats. On top of that it is powerful when used as direct instruction in the classroom. It teaches students how to identify a histogram and how to make one. Comparisons are made between a bar graph and a histogram. Many terms are defined such as axis, scale, frequency, count, range, interval, mound, skewed left, skewed right and more. There are 22 effective teaching strategies based on research used in this lesson. For best results, students should have white boards and dry erase markers. For instructions on how to successfully use this powerpoint math lesson click here. For a list of the research used in preparing this lesson click here. Included in this powerpoint lesson are the following:

  • title slide
  • focus slide
  • objectives
    • Students will be able to organize data into a histogram.
    • Students will be able to solve problems using the data from a histogram.
  • essential question
    • How can I solve problems by making and using a histogram?
  • vocabulary
  • concept development
  • step-by-step demonstrations on how to
  • organize data into a histogram, and how to use the histogram to solve problems
  • problem solving with word problem
  • reward slide

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You may be interested in the following related powerpoint lesson:

Link - 6th Grade Statistics 1 - Introduction, Statistical Questions, and Types of Data

Link - 6th Grade Statistics 2 - Mean, Median, Mode and Range

Link - 6th Grade Statistics 3 - Dot Plot and Data Distribution

Link - 6th Grade Statistics 5 - Box and Whisker Plot

Link - 6th Grade Statistics 6 - Mean Absolute Deviation

Total Pages
72 pages
Answer Key
N/A
Teaching Duration
1 hour
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Standards

to see state-specific standards (only available in the US).
Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.

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