MAFS.6.SP.2.4

Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
General Information
Subject Area: Mathematics
Grade: 6
Domain-Subdomain: Statistics & Probability
Cluster: Level 2: Basic Application of Skills & Concepts
Cluster: Summarize and describe distributions. (Additional Cluster) -

Clusters should not be sorted from Major to Supporting and then taught in that order. To do so would strip the coherence of the mathematical ideas and miss the opportunity to enhance the major work of the grade with the supporting clusters.

Date Adopted or Revised: 02/14
Date of Last Rating: 02/14
Status: State Board Approved
Assessed: Yes
Test Item Specifications

  • Assessment Limits :
    All plots must be displayed on a number line or coordinate grid.
  • Calculator :

    No

  • Context :

    Allowable

Sample Test Items (2)
  • Test Item #: Sample Item 1
  • Question: A class is surveyed with data as shown. 

    1, 4, 4, 5, 5, 5, 6, 6, 7, 7, 7, 8, 8, 9, 11 

    Which dot plot represents the class?

     

     

  • Difficulty: N/A
  • Type: MC: Multiple Choice

  • Test Item #: Sample Item 2
  • Question: A class survey provides the data shown. 

    1, 4, 4, 5, 5, 5, 6, 6, 7, 7, 7, 8, 8, 9, 11 

    Which box plot represents the class?

     

     

  • Difficulty: N/A
  • Type: MC: Multiple Choice

Related Courses

This benchmark is part of these courses.
1205010: M/J Grade 6 Mathematics (Specifically in versions: 2014 - 2015, 2015 - 2022 (current), 2022 and beyond)
1205020: M/J Grade 6 Accelerated Mathematics (Specifically in versions: 2014 - 2015, 2015 - 2020, 2020 - 2022 (current), 2022 and beyond)
2002040: M/J Comprehensive Science 1 (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2002050: M/J Comprehensive Science 1, Advanced (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2001010: M/J Earth/Space Science (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2001020: M/J Earth/Space Science, Advanced (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2000010: M/J Life Science (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2000020: M/J Life Science, Advanced (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
1204000: M/J Foundational Skills in Mathematics 6-8 (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2100010: M/J United States History (Specifically in versions: 2014 - 2015, 2015 - 2018, 2018 - 2022, 2022 and beyond)
2100015: M/J United States History & Career Planning (Specifically in versions: 2014 - 2015, 2015 - 2019, 2019 - 2022, 2022 and beyond)
2100020: M/J United States History Advanced (Specifically in versions: 2014 - 2015, 2015 - 2018, 2018 - 2022, 2022 and beyond)
2100025: M/J United States History Advanced & Career Planning (Specifically in versions: 2014 - 2015, 2015 - 2019, 2019 - 2022, 2022 and beyond)
2100030: M/J Florida History (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2103010: M/J World Geography (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2103015: M/J World Geography (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2103016: M/J World Geography & Career Planning (Specifically in versions: 2014 - 2015, 2015 - 2019, 2019 - 2022, 2022 and beyond)
2103020: M/J World Geography, Advanced (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2103030: M/J Geography: Asia, Oceania, Africa (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2104000: M/J Social Studies (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2105020: M/J World Cultures (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2105025: M/J World Cultures & Career Planning (Specifically in versions: 2014 - 2015, 2015 - 2019, 2019 - 2022, 2022 and beyond)
2109010: M/J World History (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2109020: M/J World History, Advanced (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
7812015: Access M/J Grade 6 Mathematics (Specifically in versions: 2014 - 2015, 2015 - 2018, 2018 and beyond)
7820015: Access M/J Comprehensive Science 1 (Specifically in versions: 2014 - 2015, 2015 - 2018, 2018 and beyond)
2103017: M/J World Geography and Digital Technologies (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2104010: M/J Engaged Citizenship through Service Learning 1 (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2104020: M/J Engaged Citizenship through Service Learning 2 (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2100045: M/J United States History & Civics (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 and beyond)
2003030: M/J STEM Physical Science (Specifically in versions: 2015 - 2022, 2022 and beyond)
2002200: M/J STEM Environmental Science (Specifically in versions: 2015 - 2022, 2022 and beyond)
2001025: M/J STEM Astronomy and Space Science (Specifically in versions: 2015 - 2022, 2022 and beyond)
2000025: M/J STEM Life Science (Specifically in versions: 2015 - 2022, 2022 and beyond)

Related Access Points

Alternate version of this benchmark for students with significant cognitive disabilities.
MAFS.6.SP.2.AP.4a: Display data on a line plot, such as dot plots, histograms or box plots.

Related Resources

Vetted resources educators can use to teach the concepts and skills in this benchmark.

Assessments

Sample 4 - Sixth Grade Math State Interim Assessment:

This is a State Interim Assessment for sixth grade.

Type: Assessment

Sample 3 - Sixth Grade Math State Interim Assessment:

This is a State Interim Assessment for sixth grade.

Type: Assessment

Sample 2 - Sixth Grade Math State Interim Assessment:

This is a State Interim Assessment for sixth grade.

Type: Assessment

Formative Assessments

Shark Attack Data:

Students are asked to construct a box plot corresponding to a given set of data.

Type: Formative Assessment

Chores Data:

Students are asked to display numerical data on a dot plot.

Type: Formative Assessment

Basketball Histogram:

Students are asked to construct a histogram corresponding to a given set of data.

Type: Formative Assessment

Lesson Plans

Climate and Careers!:

Students will explore chosen outdoor careers and how the careers connect to certain climates based on temperature and precipitation. The guiding question states "How might you use evidence from weather data and dot plot displays to allow you to identify which location's climate would be best for your career and why?" Students will collect data online and display the data using dot plots on posters with analysis using the mean. Students will engage in collaboration throughout. A power point is included with all necessary resources.

Type: Lesson Plan

Analyze Data:

This lesson uses statistical analysis to evaluate data. The data used is from the app created by the students in lesson 2 of the Data Set and Statistics Unit. This lesson also guides students in recognizing the different types of data collected and how the distribution's shape can be affected when graphed at different intervals in histograms. This is the final lesson in the unit.

Type: Lesson Plan

Gather Data For Distribution by Programming an App:

This lesson allow students to gather, calculate, and plot data using both computer code and mathematical equations. In this lesson students will create a pedometer app to demonstrate the understanding of algorithms, components (such as buttons, textboxes, sensors, etc.), and If/Then statements. This lesson uses algebraic equations and random data to access the needed components to store data in a spreadsheet.

Type: Lesson Plan

Data Sets Represented in Computers:

This lesson shows how data can be represented by computers, in relation to everyday activities we may not be aware that we use computer. It gives an overview of graphing data by creating a histogram based on population data. Using the data collected, students will get a chance to hand write code to show what structure is needed for computers to collect, analyze and distribute such data. This lesson is lesson 1 of the Data Set and Deviation Statistics Unit and bridges statistical concepts of data collection, graphing and analysis with programming a computer using coding language while reinforcing foundational algebraic skills.

Type: Lesson Plan

Sensoring Data:

In this follow up lesson, students will explore data collection using the weather station sensor and perform statistical analysis of the data. Students will use a scientific method of inquiry to plan an investigation of their own. This activity is meant to allow students to use a variety of skills they have acquired throughout a statistics unit in a personally meaningful way.

Type: Lesson Plan

Measurement and Data Collection:

In this interdisciplinary lesson, students will practice the skill of data collection with a variety of tools and by statistically analyzing the class data sets will begin to understand that error is inherent in all data.

This lesson uses the Hip Sciences Sensor Wand and Temperature Probe. Please refer to the corresponding Hip Science Sensor Guide(s) for information on using the sensor.

Type: Lesson Plan

Measurement Data Error:

In this interdisciplinary lesson, students will practice the skill of data collection with a variety of tools and by statistically analyzing the class data sets will begin to understand that error is inherent in all data.

Type: Lesson Plan

Measurement and Data Collection:

In this interdisciplinary lesson, students will practice the skill of data collection with a variety of tools and by statistically analyzing the class data sets will begin to understand that error is inherent in all data.

This lesson uses the Hip Sciences Sensor Wand and Temperature Probe. Please refer to the corresponding Hip Science Sensor Guide(s) for information on using the sensor.

Type: Lesson Plan

Sensoring Data:

In this follow up lesson, students will explore data collection using the weather station sensor and perform statistical analysis of the data. Students will use a scientific method of inquiry to plan an investigation of their own. This activity is meant to allow students to use a variety of skills they have acquired throughout a statistics unit in a personally meaningful way.

Type: Lesson Plan

Grapevine Fabrication Part 2:

This lesson is a Follow Up Activity to the Algebra Institute and allows students to collect data to perform basic statistical operations to analyze and make comparisons on variability within a certain brand of raisins. Part 1 must be completed prior to starting Part 2. This investigation can elicit discussion about manufacturing and quality control.

Type: Lesson Plan

Grapevine Fabrication Part 1:

This lesson is a Follow Up Activity to the Algebra Institute and allows students to collect data to perform basic statistical operations to analyze and make comparisons on variability within a certain brand of raisins. Part 1 may be completed without Part 2. This investigation can elicit discussion about manufacturing and quality control.

Type: Lesson Plan

Solar Oven Bakery:

The students will investigate how radiation from the sun allows us to bake cookie dough. The students will also determine if the volume of the box determines the time it will take for the cookie dough to bake. The students will also create a graph of the data collected while the cookie dough is baking in the solar oven.

Type: Lesson Plan

Lucky Number Seven:

In "Lucky Number Seven", students will have fun generating individual data in this lesson introducing the creation of histograms. Working in pairs, students will roll number cubes, find the sum of each roll, and complete a chart. Through guided practice, students will learn how to organize the charted data and create a histogram. Supplemental independent practice is provided along with suggestions for formative and summative assessment.

Type: Lesson Plan

Hista what, hista who:

Students begin by creating a Venn diagram to compare/contrast bar graphs and histograms. Throughout the lesson students will be exploring histograms given real world data. Students will be asked to create and analyze the data by creating a histogram and answering real world context questions.

Type: Lesson Plan

Archery and Box Plots:

This is a two day lesson of activities in which students represent data with box plots and then draw conclusions based on the graphical representation. The lesson begins with an interactive activity using archery skill card ratings and organizing themselves based on this information. This lesson includes group work, homework, and a summative assessment

Type: Lesson Plan

Got Homework?:

In this lesson, the students will have fun learning how the study of statistics and the creation of graphs can be tied to something that interests them. The students' interest in this lesson will be peaked by having them actively gather data and then use that data as part of the lesson.

Type: Lesson Plan

Dot Plots and Histograms:

In this lesson students will be exploring numeric displays including dot plots and histogram. Please note that this lesson does not cover box plots which is also part of this standard. Students will sort data into which type of display would be used between dot plots and histograms. Students will fill in guided (skeleton) notes about both types of display. Then students will create a dot plot with stickers and a histogram with painters tape. These hands on activities are used to solidify understanding of the qualities of each display. There is also independent practice and a performance task assessment for students to complete to practice and show mastery of creating numeric displays (dot plots and histograms).

Type: Lesson Plan

My Pet is Better than Yours:

Students will work with the number line to create dot plots. Beginning with a simple warm-up worksheet, students activate prior knowledge (apk) regarding data collection, frequency chart and calculating mean, median and mode.

Students will collect data, create a dot plot, and interpret the results with teacher guidance, peers, and independently. The lesson concludes with a summative assessment.

Type: Lesson Plan

Swish and Spit Box Plots:

In this lesson, students are working as researchers for the Swish and Spit Company to create single serve mouthwash containers for travel. Students will create box plots from data sets of lip length and how much liquid can be held comfortably in human mouths. Students will analyze their graphs to answer questions regarding the size of the mouthwash container and how mouthwash it should hold. This activity should be used as a follow-up activity after students have a base knowledge of box plots.

Type: Lesson Plan

What's Your Favorite?:

This lesson is designed to provide students with an opportunity to develop three different data displays from the same set of numerical data. A power point is included to help teachers plan the lesson. Enter and Exit tickets are included.

Type: Lesson Plan

Dot plot and Box plots:

In this lesson the students will construct graphs from a data set. They will find the mean, median, mode, and range from a data set and a graph the have generated. The students also will also use their ages in months to build a box plot using the data from all the students.

Type: Lesson Plan

Speedster:

In this activity, students will collect data to compare their reaction time for catching a falling object or to an online stimulus to that of their classmates. Students will collect data for their class, construct a graph to represent the data, and then answer the question, "How good are my reactions compared to other students?"

Type: Lesson Plan

Box Plots are Easy!!:

This lesson is a hands-on activity that introduces students to the concepts of number summaries, interquartile ranges and box plots. For a given set of data, students will be able to create a two number summary, three number summary, five number summary and box plot. This lesson will span two or three class periods dependant upon the discretion and pacing of the teacher.

Type: Lesson Plan

Statistically Speaking Part II: An Investigation of Statistical Questions and Data Distribution:

This lesson is Part 2 of 2 and uses the inquiry based learning method to help students recognize a statistical question as one that anticipates variability in the data. Through cooperative learning activities, the students will develop an understanding of how to analyze the collected data to answer a statistical question. Students will complete a statistical research project in teams. Since this lesson focuses on math concepts related to identifying clusters, gaps, outliers and overall shape of a line plot, it will help students build a strong foundation for future concepts in the statistics and probability domain. The corresponding lesson is Statistically Speaking Part I: An Investigation of Statistical Questions and Data Distribution, Resource ID 48649.

Type: Lesson Plan

Plotting Our Scores:

In this lesson students will create two box plots on the same number line and interpret the data. Students will also be shown a double box plot and asked to write questions about the data.

Type: Lesson Plan

Statistically Speaking Part I: An Investigation of Statistical Questions and Data Distribution:

This lesson is Part 1 of 2 and uses the inquiry-based learning method to help students recognize a statistical question as one that anticipates variability in the data. Through cooperative learning activities, the students will develop an understanding of how to analyze the data collected to answer a statistical question. Since this lesson focuses on math concepts related to identifying clusters, gaps, outliers and overall shape of a line plot, it will help students build a strong foundation for future concepts in the statistics and probability domain. The corresponding lesson Resource ID is: 49091

Type: Lesson Plan

Heartbeat in a Box:

This lesson teaches how to make a box plot paying attention to what the quartiles mean. Students find resting heartbeat and active heartbeat. They make observations of this data displayed in box plots on the same number line. Students will interpret and make sense of this data, as well. Outliers are introduced, but not calculated, as is the intent of the standards, at this grade level.

Type: Lesson Plan

Be the Statistician:

Students will utilize their knowledge of data and statistics to create a question, collect numerical data, and create a display of their data driven by its quantitative measures of center and variability; mean, median, mode, and range.

Type: Lesson Plan

The Survey Says...:

Students will work in groups to conduct class surveys, using the results of the survey to calculate various measures of central tendency.

Type: Lesson Plan

Punkin Chunkin - An Engineering Design Challenge:

This Engineering Design Challenge is intended to help students apply the concepts of the transfer of potential and kinetic energy from SC.6.P.11.1. It is not intended as an initial introduction to this benchmark.

Type: Lesson Plan

Original Student Tutorials

Castles, Catapults and Data: Histograms Part 2:

Learn how to interpret histograms to analyze data, and help an inventor predict the range of a catapult in part 2 of this interactive tutorial series. More specifically, you'll learn to describe the shape and spread of data distributions.

Click HERE to open part 1.

Type: Original Student Tutorial

Castles, Catapults and Data: Histograms Part 1:

Learn how to create a histogram to display continuous data from projectiles launched by a catapult in this interactive tutorial. 

This is part 1 in a 2-part series. Click HERE to open part 2.

Type: Original Student Tutorial

It's Raining....Cats and Dogs:

Learn how to make and interpret boxplots in this pet-themed, interactive tutorial.

Type: Original Student Tutorial

Perspectives Video: Expert

Histograms Show Trends in Fisheries Data Over Time:

NOAA Fishery management relies on histograms to show patterns and trends over time of fishery data.

Download the CPALMS Perspectives video student note taking guide.

Type: Perspectives Video: Expert

Perspectives Video: Professional/Enthusiast

Graphs Help Identify Cost-Effective Sea Turtle Conservation Strategies:

This marine biologist discusses her use of graphical representations to help determine the most cost-effective management strategies for sea turtle conservation.

Download the CPALMS Perspectives video student note taking guide.

Type: Perspectives Video: Professional/Enthusiast

Problem-Solving Tasks

How Long is 30 Seconds?:

The purpose of this task is for students to gain a better understanding of the passage of time. Students with the help of their teacher should work to design an investigation to find out how successful the class is at predicting when 30 seconds has passed. Once the data is recorded students should begin to graph their findings to make comparisons.

Type: Problem-Solving Task

Don’t Spill the Beans!:

The purpose of this task is for students to make a hypothesis, and then doing an experiment to test each students hypothesis. Students will collect and record their data, use graphical methods to describe their data, and finally analyze and interpret their results in the context of the activity.

Type: Problem-Solving Task

Puppy Weights:

Using the information provided, create an appropriate graphical display and answer the questions regarding shape, center and variability.

Type: Problem-Solving Task

Student Center Activity

Edcite: Mathematics Grade 6:

Students can practice answering mathematics questions on a variety of topics. With an account, students can save their work and send it to their teacher when complete.

Type: Student Center Activity

Teaching Idea

Drops on a Penny (Box-and-Whiskers Graph):

Students collect data, compute measures of central tendency, and create stem-and-leaf plots and box-and-whiskers plots.

Type: Teaching Idea

Tutorials

Constructing a Box and Whisker Plot:

This video demonstrates how to construct a box and whisker plot.

Type: Tutorial

Interpreting box and whisker plots:

Students will interpret data presented in a box and whisker plot.

Type: Tutorial

Frequency tables and dot plots:

In this video, we organize data into frequency tables and dot plots (sometimes called line plots).

Type: Tutorial

Histograms:

Learn how to create histograms, which summarize data by sorting it into groups (buckets).

Type: Tutorial

Identify clusters, peaks, and gaps in a dot plot:

This tutorial will help the learners with their understanding of clusters, peaks, and gaps and their relationship to the data by examining the distribution on a dot plot.

Type: Tutorial

Virtual Manipulatives

Bar Chart:

This virtual manipulative is intended to introduce users to the idea of visual representation of data by means of a bar chart. This manipulative is also useful for letting the students categorize collections of familiar objects, (shoes, dry food items, coins etc.) separate them into sub-categories, and describe.

Type: Virtual Manipulative

Histogram vs. Box Plot:

This simulation allows the student to create a box plot and a histogram for the same set of data and toggle between the two displays. Maximum, minimum, median and mean are shown for the data set. The student can change the cell width to explore how the histogram is affected.

Type: Virtual Manipulative

Box Plot:

In this activity, students use preset data or enter in their own data to be represented in a box plot. This activity allows students to explore single as well as side-by-side box plots of different data. This activity includes supplemental materials, including background information about the topics covered, a description of how to use the application, and exploration questions for use with the Java applet.

Type: Virtual Manipulative

Advanced Data Grapher:

This is an online graphing utility that can be used to create box plots, bubble graphs, scatterplots, histograms, and stem-and-leaf plots.

Type: Virtual Manipulative

Box Plotter:

Users select a data set or enter their own data to generate a box plot.

Type: Virtual Manipulative

Histogram Tool:

This virtual manipulative histogram tool can aid in analyzing the distribution of a dataset. It has 6 preset datasets and a function to add your own data for analysis.

Type: Virtual Manipulative

Histogram:

In this activity, students can create and view a histogram using existing data sets or original data entered. Students can adjust the interval size using a slider bar, and they can also adjust the other scales on the graph. This activity allows students to explore histograms as a way to represent data as well as the concepts of mean, standard deviation, and scale. This activity includes supplemental materials, including background information about the topics covered, a description of how to use the application, and exploration questions for use with the java applet.

Type: Virtual Manipulative

Worksheet

Splash of Math - SeaWorld Classroom Activity:

This resource allows students to assume the role of an ethologist provide 4 activities that challenge students to apply mathematics to solve complex real-life problems:

  • Activity A: Watch the Whales - Determine average speed, distance, and percentage of time at the surface of gray whales.
  • Activity B: Time Tally - From observations of a dolphin determine total time and percentage of time of certain behaviors.
  • Activity C: Deep Divers - Determine average dive depth, diving time, and surface time of an elephant seal.
  • Activity D: Breaches of the Humpback - Graph data and make a prediction from the graph. In this activity, the students will practice problem solving skills to solve complex real-life problems.

Type: Worksheet

MFAS Formative Assessments

Basketball Histogram:

Students are asked to construct a histogram corresponding to a given set of data.

Chores Data:

Students are asked to display numerical data on a dot plot.

Shark Attack Data:

Students are asked to construct a box plot corresponding to a given set of data.

Original Student Tutorials Mathematics - Grades 6-8

Castles, Catapults and Data: Histograms Part 1:

Learn how to create a histogram to display continuous data from projectiles launched by a catapult in this interactive tutorial. 

This is part 1 in a 2-part series. Click HERE to open part 2.

Castles, Catapults and Data: Histograms Part 2:

Learn how to interpret histograms to analyze data, and help an inventor predict the range of a catapult in part 2 of this interactive tutorial series. More specifically, you'll learn to describe the shape and spread of data distributions.

Click HERE to open part 1.

It's Raining....Cats and Dogs:

Learn how to make and interpret boxplots in this pet-themed, interactive tutorial.

Student Resources

Vetted resources students can use to learn the concepts and skills in this benchmark.

Original Student Tutorials

Castles, Catapults and Data: Histograms Part 2:

Learn how to interpret histograms to analyze data, and help an inventor predict the range of a catapult in part 2 of this interactive tutorial series. More specifically, you'll learn to describe the shape and spread of data distributions.

Click HERE to open part 1.

Type: Original Student Tutorial

Castles, Catapults and Data: Histograms Part 1:

Learn how to create a histogram to display continuous data from projectiles launched by a catapult in this interactive tutorial. 

This is part 1 in a 2-part series. Click HERE to open part 2.

Type: Original Student Tutorial

It's Raining....Cats and Dogs:

Learn how to make and interpret boxplots in this pet-themed, interactive tutorial.

Type: Original Student Tutorial

Problem-Solving Task

Puppy Weights:

Using the information provided, create an appropriate graphical display and answer the questions regarding shape, center and variability.

Type: Problem-Solving Task

Student Center Activity

Edcite: Mathematics Grade 6:

Students can practice answering mathematics questions on a variety of topics. With an account, students can save their work and send it to their teacher when complete.

Type: Student Center Activity

Tutorials

Constructing a Box and Whisker Plot:

This video demonstrates how to construct a box and whisker plot.

Type: Tutorial

Interpreting box and whisker plots:

Students will interpret data presented in a box and whisker plot.

Type: Tutorial

Frequency tables and dot plots:

In this video, we organize data into frequency tables and dot plots (sometimes called line plots).

Type: Tutorial

Histograms:

Learn how to create histograms, which summarize data by sorting it into groups (buckets).

Type: Tutorial

Virtual Manipulatives

Bar Chart:

This virtual manipulative is intended to introduce users to the idea of visual representation of data by means of a bar chart. This manipulative is also useful for letting the students categorize collections of familiar objects, (shoes, dry food items, coins etc.) separate them into sub-categories, and describe.

Type: Virtual Manipulative

Histogram vs. Box Plot:

This simulation allows the student to create a box plot and a histogram for the same set of data and toggle between the two displays. Maximum, minimum, median and mean are shown for the data set. The student can change the cell width to explore how the histogram is affected.

Type: Virtual Manipulative

Box Plot:

In this activity, students use preset data or enter in their own data to be represented in a box plot. This activity allows students to explore single as well as side-by-side box plots of different data. This activity includes supplemental materials, including background information about the topics covered, a description of how to use the application, and exploration questions for use with the Java applet.

Type: Virtual Manipulative

Advanced Data Grapher:

This is an online graphing utility that can be used to create box plots, bubble graphs, scatterplots, histograms, and stem-and-leaf plots.

Type: Virtual Manipulative

Box Plotter:

Users select a data set or enter their own data to generate a box plot.

Type: Virtual Manipulative

Histogram Tool:

This virtual manipulative histogram tool can aid in analyzing the distribution of a dataset. It has 6 preset datasets and a function to add your own data for analysis.

Type: Virtual Manipulative

Histogram:

In this activity, students can create and view a histogram using existing data sets or original data entered. Students can adjust the interval size using a slider bar, and they can also adjust the other scales on the graph. This activity allows students to explore histograms as a way to represent data as well as the concepts of mean, standard deviation, and scale. This activity includes supplemental materials, including background information about the topics covered, a description of how to use the application, and exploration questions for use with the java applet.

Type: Virtual Manipulative

Parent Resources

Vetted resources caregivers can use to help students learn the concepts and skills in this benchmark.

Problem-Solving Task

Puppy Weights:

Using the information provided, create an appropriate graphical display and answer the questions regarding shape, center and variability.

Type: Problem-Solving Task

Virtual Manipulatives

Bar Chart:

This virtual manipulative is intended to introduce users to the idea of visual representation of data by means of a bar chart. This manipulative is also useful for letting the students categorize collections of familiar objects, (shoes, dry food items, coins etc.) separate them into sub-categories, and describe.

Type: Virtual Manipulative

Histogram vs. Box Plot:

This simulation allows the student to create a box plot and a histogram for the same set of data and toggle between the two displays. Maximum, minimum, median and mean are shown for the data set. The student can change the cell width to explore how the histogram is affected.

Type: Virtual Manipulative