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Grade 6 Statistics and Probability Free Bundle

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What’s inside?

  • FREE topics on Grade 6 Statistics and Probability domain
  • FREE Activities
  • FREE 10-item quiz
  • FREE List of related topics
  • FREE access to calculators, interactive flashcards, and MORE!

This fantastic bundle includes FREE worksheets and quiz items about Statistics and Probability. These ready-to-use Common Core-aligned, Grade 6 Math worksheets, are perfectly paired with premium End-of-Year test booklets.

Common Core Standards (6.SP)

Develop understanding of statistical variability.

  1. 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.
  2. 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.
  3. 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.

Summarize and describe distributions.

  1. Display numerical data in plots on a number line, including dot plots,
    histograms, and box plots.
  2. Summarize numerical data sets in relation to their context, such as by:
    a. Reporting the number of observations.
    b. Describing the nature of the attribute under investigation,
    including how it was measured and its units of measurement.
    c. Giving quantitative measures of center (median and/or mean) and
    variability (interquartile range and/or mean absolute deviation), as
    well as describing any overall pattern and any striking deviations
    from the overall pattern with reference to the context in which the
    data were gathered.
    d. Relating the choice of measures of center and variability to the
    shape of the data distribution and the context in which the data
    were gathered.

Resource Examples

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