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Statistics Project for 6th or 7th Grade! Bonus Assessment Included.

Rated 4.87 out of 5, based on 23 reviews
4.9 (23 ratings)
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Jean DeWulf Your MathMate
96 Followers
Grade Levels
6th - 7th, Homeschool
Subjects
Resource Type
Standards
Formats Included
  • PDF
Pages
8 pages
$4.00
$4.00
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Jean DeWulf Your MathMate
96 Followers

What educators are saying

This was great review for my 7th graders at the end of the year. They enjoyed it, and could do this either in a small group or independently.

Description

Your students are going to LOVE this interactive Statistics Project!

You can choose either paper/pencil or digital formats for this project.

Students can work individually, in pairs or in small groups.

There are 5 parts to this project:

  • Part I: Creating a Statistical Question

  • Part II: Collecting Data & Determining the Measures of Center, Variation & 5 number summary.

  • Part III: Creating 3 Graphs; a histogram, a dot plot and a box-n-whisker plot.

  • Part IV: Written Description. Students will answer questions.

  • Part V. Creating a Visual Presentation.

There is a BONUS statistics assessment included.

Total Pages
8 pages
Answer Key
Included
Teaching Duration
N/A
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Standards

to see state-specific standards (only available in the US).
Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates variability in students’ ages.
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.
Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.
Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
Summarize numerical data sets in relation to their context, such as by:

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