Learning Resource Type

Classroom Resource

Histograms | Against All Odds: Unit 3

Subject Area

Mathematics

Grade(s)

9, 10, 11, 12

Overview

Real-world examples demonstrate the benefits of histograms in this 10-minute video from the Against All Odds statistics series. Data visualization techniques help students understand the practical application of statistics in meteorology and in predicting traffic patterns. Hosted by Pardis Sabeti, this series walks students through understanding how statistics are used in everyday life.

    Mathematics (2019) Grade(s): 09-12 - Geometry with Data Analysis

    MA19.GDA.10

    Use statistics appropriate to the shape of the data distribution to compare and contrast two or more data sets, utilizing the mean and median for center and the interquartile range and standard deviation for variability.

    Unpacked Content

    UP:MA19.GDA.10

    Vocabulary

    • Center
    • Median
    • Mean
    • Spread
    • Interquartile range
    • Standard deviation
    • Absolute mean deviation

    Knowledge

    Students know:
    • Techniques to calculate the center and spread of data sets.
    • Techniques to calculate the mean absolute deviation and standard deviation.
    • Methods to compare data sets based on measures of center (median, mean) and spread (interquartile range and standard deviation) of the data sets.

    Skills

    Students are able to:
    • Accurately find the center (median and mean) and spread (interquartile range and standard deviation) of data sets.
    • -Present viable arguments and critique arguments of others from the comparison of the center and spread of multiple data sets.
    • Explain their reasoning on how standard deviation develops from the mean absolute deviation.

    Understanding

    Students understand that:
    • Multiple data sets can be compared by making observations about the center and spread of the data.
    • The center and spread of multiple data sets are used to justify comparisons of the data.
    • Both the mean and the median are used to calculate the mean absolute and standard deviations
    Mathematics (2019) Grade(s): 09-12 - Geometry with Data Analysis

    MA19.GDA.11

    Interpret differences in shape, center, and spread in the context of data sets, accounting for possible effects of extreme data points (outliers) on mean and standard deviation.

    Unpacked Content

    UP:MA19.GDA.11

    Vocabulary

    • Outliers
    • Center
    • Shape
    • Spread
    • Mean
    • Standard deviation

    Knowledge

    Students know:

    • Techniques to calculate the center and spread of data sets.
    • Methods to compare attributes (e.g. shape, median, mean, interquartile range, and standard deviation) of the data sets.
    • Methods to identify outliers.

    Skills

    Students are able to:

    • Accurately identify differences in shape, center, and spread when comparing two or more data sets.
    • Accurately identify outliers for the mean and standard deviation.
    • Explain, with justification, why there are differences in the shape, center, and spread of data sets.

    Understanding

    Students understand that:

    • Differences in the shape, center, and spread of data sets can result from various causes, including outliers and clustering.
    Mathematics (2019) Grade(s): 09-12 - Algebra II with Statistics

    MA19.A2.26

    Describe the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.

    Unpacked Content

    UP:MA19.A2.26

    Vocabulary

    • Sample surveys
    • Experiments
    • Observational studies
    • Randomization

    Knowledge

    Students know:
    • Key components of sample surveys, experiments, and observational studies.
    • Procedures for selecting random samples.

    Skills

    Students are able to:
    • Use key characteristics of sample surveys, experiments, and observational studies to select the appropriate technique for a particular statistical investigation.

    Understanding

    Students understand that:
    • Sample surveys, experiments, and observational studies may be used to make inferences made about the population.
    • Randomization is used to reduce bias in statistical procedures.
    Link to Resource

    CR Resource Type

    Audio/Video

    Resource Provider

    PBS
    Accessibility

    Accessibility

    Video resources: includes closed captioning or subtitles
    License

    License Type

    Custom
    ALSDE LOGO