This CCSS-aligned product addresses the development of understanding of statistical variability. It focuses on statistical questions and describing distributions.
Included are 6 practice sheets (8 pages) that can be used for practice, homework, at a math station, or even for an assessment. All answer keys are included.
Additionally, there is 6-page foldable "booklet" that gives "Helps and Hints" on things like measure of center, spread, and shape. (See Table of Contents below.) There is also a half-sheet about the difference between Measures of Center and Measures of Variation (2 to a page). Both the foldable and the half-sheet are designed for students' interactive math notebooks as a help and a reference.
Table of Contents:
~ “Can Do” Practice Sheet 1: 6.SP.A.1 (1 pg.)
~ “Can Do” Practice Sheet 2: 6.SP.A.1 (1 pg.)
~ "Can Do" Practice Sheet 3: 6.SP.A.2 (1 pg.)
~ Foldable for Students’ Interactive Math Notebooks:
• Assembly Instructions
• What is a Distribution?
• Describing Distributions
Normal distribution (Bell Curve)
o Measure of Spread
o Measure of Center
~ “Can Do” Practice Sheet 3: 6.SP.A.2 (2 pgs.)
~ “Can Do” Practice Sheet 4: 6.SP.A.2 (2 pgs.)
~ Measure of Center or Measure of Variation (2 Half Sheets)
for Students’ Interactive Math Notebooks
~ “Can Do” Practice Sheet 5: 6.SP.A.3 (1 pg.)
~ Answer Keys
Click here for other 6.SP products!
Statistics and Probability: 6.SP.B.4-5
Statistics and Probability Posters: 6.SP.A.1-5
Statistics and Probability PowerPoint: 6.SP.A.1-5
Statistics and Probability Assessments: 6.SP.A.1-5
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.