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Mathematics - Secondary Curriculum Secondary Mathematics I
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Strand: STATISTICS AND PROBABILITY - Interpreting Categorical and Quantitative Data (S.ID)

Summarize, represent, and interpret data on a single count or measurement variable (Standards S.ID.1–3). Summarize, represent, and interpret data on two categorical and quantitative variables (Standard S.ID.6). Interpret linear models building on students’ work with linear relationships, and introduce the correlation coefficient (Standards S.ID.7–9).

Standard S.ID.6

Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

  • Coffee and Crime
    This task addresses many standards regarding the description and analysis of bivariate quantitative data, including regression and correlation.
  • DASL
    DASL (pronounced "dazzle") is an online library of datafiles and stories that illustrate the use of basic statistics methods.
  • Devising a Measure for Correlation
    This lesson unit is intended to help educators assess how well students understand the notion of correlation.
  • Interpreting Statistics: A Case of Muddying the Waters
    This lesson unit is intended to help educators assess how well students are able to interpret data and evaluate statistical summaries and critique someone else's interpretations of data and evaluations of statistical summaries.
  • Introduction to the Materials (Math 1)
    Introduction to the Materials in the Mathematics One of the The MVP classroom experience begins by confronting students with an engaging task and then invites them to grapple with solving it. As students ideas emerge, take form, and are shared, the teacher orchestrates the student discussions and explorations towards a focused mathematical goal. As conjectures are made and explored, they evolve into mathematical concepts that the community of learners begins to embrace as effective strategies for analyzing and solving problems.
  • Linear Regression and Correlation
    In this lesson students will plot data onto a scatter plot and then determine the line of best fit for the data sets.
  • Module 9: Modeling Data - Student Edition (Math 1)
    The Mathematics Vision Project, Secondary Math One Module 9, Modeling Data, addresses representing data in dot plots, histograms, and box plots, and analyzing the data with appropriate summary statistics for center, shape, and spread and identifying the existence of extreme data points. They compare data sets to draw conclusions and justify arguments based upon story context. This work extends the experience that students had in grades 6-8 where they informally described both center and spread.
  • Module 9: Modeling Data - Teacher Notes (Math 1)
    The Mathematics Vision Project, Secondary Math One Module 9 Teacher Notes, Modeling Data, addresses representing data in dot plots, histograms, and box plots, and analyzing the data with appropriate summary statistics for center, shape, and spread and identifying the existence of extreme data points. They compare data sets to draw conclusions and justify arguments based upon story context. This work extends the experience that students had in grades 6-8 where they informally described both center and spread.
  • Musical Preferences
    The basic idea is for students to demonstrate that they know what it means for two variables to be associated.
  • Olympic Men's 100-meter dash
    The task asks students to identify when two quantitative variables show evidence of a linear association, and to describe the strength and direction of that association.
  • Restaurant Bill and Party Size
    The purpose of this task is to assess student understanding of residuals and residual plots.
  • STATISTICS - Interpreting Categorical and Quantitative Data (S.ID) - Sec Math I Core Guide
    The Utah State Board of Education (USBE) and educators around the state of Utah developed these guides for the Secondary Mathematics I - Interpreting Categorical and Quantitative Data (S.ID).
  • Support for a Longer School Day?
    The purpose of this task is to provide students with an opportunity to calculate joint, marginal and relative frequencies using data in a two-way table.
  • Univariate and Bivariate Data
    This lesson helps students understand these two types of data and choose the best type of graph or measure appropriate to each.


UEN logo http://www.uen.org - in partnership with Utah State Board of Education (USBE) and Utah System of Higher Education (USHE).  Send questions or comments to USBE Specialist - Lindsey  Henderson and see the Mathematics - Secondary website. For general questions about Utah's Core Standards contact the Director - Jennifer  Throndsen.

These materials have been produced by and for the teachers of the State of Utah. Copies of these materials may be freely reproduced for teacher and classroom use. When distributing these materials, credit should be given to Utah State Board of Education. These materials may not be published, in whole or part, or in any other format, without the written permission of the Utah State Board of Education, 250 East 500 South, PO Box 144200, Salt Lake City, Utah 84114-4200.