MA.912.DP.3.5

Solve real-world problems involving univariate and bivariate categorical data.

Clarifications

Clarification 1: Instruction focuses on the connection to probability.

Clarification 2: Instruction includes calculating joint relative frequencies or conditional relative frequencies using tree diagrams. Clarification 3: Graphical representations include frequency tables, relative frequency tables, circle graphs and segmented bar graphs.

General Information
Subject Area: Mathematics (B.E.S.T.)
Grade: 912
Strand: Data Analysis and Probability
Date Adopted or Revised: 08/20
Status: State Board Approved

Benchmark Instructional Guide

Connecting Benchmarks/Horizontal Alignment

Terms from the K-12 Glossary

  • Categorical data 
  • Bivariate data 
  • Bar graph 
  • Circle graphs 
  • Joint relative frequency 
  • Conditional relative frequency 
  • Frequency table

Vertical Alignment

Previous Benchmarks

Next Benchmarks

Purpose and Instructional Strategies

In grade 7, students worked with categorical data to create graphical displays. In addition, students also began to develop an understanding of probabilities in grade 7, and continued this further in grade 8. In Mathematics for College Statistics, students associate the relative frequencies seen in tables and graphs with probabilities to solve real world problems. 
  • Instruction includes reinforcing that univariate categorical data can be displayed with circle graphs and bar graphs and that the relative frequencies associated with these graphs can be viewed as probabilities. 
  • Instruction includes reinforcing that bivariate categorical data can be summarized with segmented bar graphs, tree diagrams, frequency two- way tables, and relative frequency two way tables. Various probabilities can be calculated from these displays. 
  • Instruction makes the connection to joint relative frequencies and conditional relative frequencies. 
  • When connecting instruction to probability, emphasize that probabilities can be represented as fractions, decimals or percentages. Students should realize that calculations from categorical data are typically probabilities/percentages/fractions since this data type is qualitative. 
  • Instruction includes the use of technology to create graphical displays of data. 
  • Instruction includes a discussion on false positives and false negatives. A false positive occurs when a test result comes back as positive when the result should have been negative. A false negative occurs when a test result comes back as negative when the result should have been positive.

Common Misconceptions or Errors

  • When converting a fraction to a decimal, students may divide the denominator by the numerator. 
  • Students may not fully fill in a frequency two-table or a relative frequency two-way table, which would lead to incorrect calculations.

Instructional Tasks

Instructional Task 1 (MTR.7.1
  • A study shows that about 2.5% of women develop the skin cancer melanoma in their lifetime. Current medical testing is not always completely accurate. In cases where a woman actually had melanoma, her test result came back positive about 94% of the time. In a case where a woman did not actually have melanoma, her test came back positive about 2% of the time. A dermatologist’s office is interested to know whether their rates are similar to the rates of the study. The results are in the two-way table below. 

    • Part A. Is the data being summarized univariate or bivariate? 
    • Part B. What is the conditional probability that a woman had a positive test given that she actually had melanoma? Is this similar to the result of the aforementioned study? 
    • Part C. What is the joint probability that a woman had a positive test and did not have actually have melanoma? Is this a false positive or a false negative? 
    • Part D. What is the conditional probability that a woman had a positive test given that she did not actually have melanoma? Is this similar to the result of the aforementioned study? 
    • Part E. What is the joint probability that a woman had a negative test and actually had melanoma? Is this a false positive or a false negative? 

Instructional Task 2 (MTR.4.1, MTR.7.1

  • A 2014 article by Slate looked at the sex of contestants on the game show Jeopardy! and whether or not they won. The statistics provided by that article are in the tree diagram above. 
    • Part A. What is the probability that a woman appeared on an episode of Jeopardy! and won? 
    • Part B. What is the probability that a man appeared on an episode of Jeopardy! and won? 
    • Part C. Given that the contestant was a man, what is the probability that he won on an episode of Jeopardy!? 
    • Part D. Given that the contestant was a woman, what is the probability that she won on an episode of Jeopardy!? 
    • Part E. Discuss the content of the article and the results of Part C. and Part D. with a classmate.

Instructional Items

Instructional Item 1 
  • Two different classes are asked their preferred format for reading books. In the first class 8 students said they preferred a hardcover book, 12 said they preferred a paperback book, 3 said they preferred an audio book and 5 said they preferred a digital format. In the second class, 5 students said they preferred a hardcover book, 14 said they preferred a paperback book, 2 said they preferred an audio book and 8 said they preferred a digital format. A segmented bar graph displays this data below. 

    • Part A. What is the probability that a randomly selected student from the two classes prefers a printed format (hardcover or paperback)? 
    • Part B. What is the probability that a randomly selected student is from class 1 and prefers an audio book? 
    • Part C. Given the student is from class 2, what is the probability that he or she prefers a digital format?
*The strategies, tasks and items included in the B1G-M are examples and should not be considered comprehensive.

Related Courses

This benchmark is part of these courses.
1210300: Probability and Statistics Honors (Specifically in versions: 2014 - 2015, 2015 - 2019, 2019 - 2022, 2022 - 2024, 2024 and beyond (current))
1210305: Mathematics for College Statistics (Specifically in versions: 2022 - 2024, 2024 and beyond (current))

Related Access Points

Alternate version of this benchmark for students with significant cognitive disabilities.

Related Resources

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

Lesson Plans

Taxes using Two-Way Frequency Tables:

Students will construct a two-way frequency table of different levels of government and the imposed gasoline taxes in Florida. Students will learn about marginal and joint frequencies. This is lesson three of a 3-part integrated mathematics and civics mini-unit.

Type: Lesson Plan

Investigating Relationships With Two-Way Frequency Tables:

In this lesson, students are introduced to two-way frequency tables. They will calculate joint, marginal, and relative frequencies and draw conclusions about the relationship between two categorical variables.

Type: Lesson Plan

Can You Walk in My Shoes?:

Students use real-life data to create dot-plots and two-way tables. Students will collect data at the beginning of the lesson and use that data to create double dot plots and frequency tables, finding and interpreting relative frequencies.

The assignment allows students to work collaboratively and cooperatively in groups. They will communicate within groups to compare shoes sizes and ages to acquire their data. From the collection of data they should be able to predict, analyze and organize the data into categories (two-way tables) or place on a number line (dot-plot).

As the class assignment concludes, a discussion of the final class display should take place about the purchasing of shoes versus ages and the relationship that either exists or doesn't exist.

Type: Lesson Plan

How Random is "Shuffle Mode"?:

Today's teenager is a savvy consumer of digital music and the constantly-evolving technology that plays it. Ask a typical student what they know about iTunes versus Pandora versus Spotify—most of them will have an opinion on the "best" service for listening to songs. This lesson links students' existing interest in music with the mathematical topics of frequency and relative frequency.

The activity assumes that students know what Shuffle Mode does when they listen to digital music. Shuffle Mode is a function on digital music players that "shuffles" or randomly rearranges the order of a list of songs. Each time a person presses Shuffle Mode, the playlist is rearranged. If we assume a music player's Shuffle Mode is truly random, the chances of any particular song being played would equal 1 divided by the total number of songs (1/total #). This is analogous to rolling a fair die; each number on the die has an equal probability of being rolled (1/6 or 16.7%).

Type: Lesson Plan

Dropping Out or Staying In: Two-Way Table Analysis:

This lesson will require students to calculate relative frequencies and determine if an association exists within a two-way table. The students will analyze the frequencies and write a response justifying the associations and trends found within the table.

Type: Lesson Plan

How tall is an 8th grader?:

Ever wonder about the differences in heights between students in grade 8? In this lesson, students will use data they collect to create and analyze multiple box plots using 5-number summaries. Students will make inferences about how height and another category may or may not be related.

Type: Lesson Plan

Plane Statistics:

This lesson starts with an activity to gather data using paper airplanes then progresses to using appropriate statistics to compare the center and spread of the data. Box plots are used in this application lesson of concepts and skills previously acquired.

Type: Lesson Plan

What's your preference?:

In this lesson, students will collect data and construct two-way frequency tables. They will analyze the two-way frequency table by calculating relative conditional frequencies.

Type: Lesson Plan

What's Your Story?: Exploring Marginal and Conditional Distributions Through Social Networks:

In this interactive lesson, students explore marginal and conditional distributions. Students will calculate the relative frequency of data collected about cell phone use and social media access. These categories can be adjusted as necessary.

Type: Lesson Plan

Relative Frequency Tables... with extra cheese!:

Have students get colorful in defining marginal, joint and conditional frequencies of two-way frequency tables. Students will take charge in justifying the associations they find in the tables.

Type: Lesson Plan

High School Dropouts:

Students will examine dropout rates in the United States in 2012 by gender and race using data provided by the National Center for Education Statistics. Students will create conditional relative frequency tables to interpret the data and identify associations between genders, races, and dropout rates.

Type: Lesson Plan

It's Your Choice:

In groups, students will analyze associations between categorical data by constructing two-way frequency tables and two-way relative frequency tables. Students will analyze and interpret the results and present their findings to their classmates.

Type: Lesson Plan

Breakfast for Champions?:

Students will create and interpret two-way frequency tables using joint, marginal, and conditional frequencies in context. They will investigate whether breakfast is for champions.

Type: Lesson Plan

Using Two-Way Frequency Tables to Analyze Data:

The television program, 60 Minutes reports that parents are intentionally holding their children back in kindergarten to give them a competitive advantage in sports later on in life. The students will use data collected to decide if this is truly a trend in the United States.

Type: Lesson Plan

Comedy vs. Action Movies Frequency Interpretation:

Using a completed survey of male and female student interest in comedy vs. action movies, the students will create a two-way frequency table using actual data results, fraction results, and percent results. The students will then act as the movie producer and interpret the data to determine if it is in their best interest to make a comedy or action movie. As the Summative Assessment, the student will take on the job/role of an actor/actress and interpret the data to support their decision.

Type: Lesson Plan

Show Me the Money:

Students will create a statistical question and collect and analyze data using relative frequency tables. They will present their argument in hopes of earning a cash prize for their philanthropy. An iterative process of critique and refinement will take place. A student packet is included that guides all parts of the lesson.

Type: Lesson Plan

Are you a CrimiNole or Gatorbait? Two rivalries in one table!:

This is an introduction to two-way frequency tables. The lesson will be delivered using a PowerPoint presentation. The teacher will introduce and define joint and marginal frequency, demonstrate how two-way frequency tables are constructed from a given set of data, calculate relative frequencies, and draw conclusions based on the information in the table. Students will practice these skills through guided practice with the teacher, independent practice, and complete a summative assessment to measure student learning. All resources, including the PowerPoint, have been provided.

Type: Lesson Plan

Can You Make Heads or Tails of It?:

Students learn how to make two-way tables, frequency, and relevant frequency tables. Students make predictions, collect data, and display it in two-way tables for interpretation.

Type: Lesson Plan

Two-Way Frequency Table and Relative Frequency:

In this lesson, the student will learn how to set up a two-way frequency table from two categorical variables and use the two-way frequency table to calculate frequency counts and relative frequency. The vocabulary terms learned in this lesson are two-way frequency table, relative frequency, joint frequency, marginal frequency, and conditional frequency.

Type: Lesson Plan

How hot are hot dogs?:

In this lesson, students will learn how to convert simple and two-way frequency tables into relative frequency tables using data collected in the classroom.

Type: Lesson Plan

Problem-Solving Tasks

Musical Preferences:

This problem solving task asks students to make deductions about the kind of music students enjoy by examining data in a two-way table.

Type: Problem-Solving Task

Music and Sports:

This task asks the student to gather data on whether classmates play an instrument and/or participate in a sport, summarize the data in a table and decide whether there is an association between playing a sport and playing an instrument. Finally, the student is asked to create a graph to display any association between the variables.

Type: Problem-Solving Task

What's Your Favorite Subject?:

Students are asked to examine data given in table format and then calculate either row percentages or column percentages and state a conclusion about the meaning of the data. Either calculation is appropriate for the solution since there is no clear relationship between the variables. Whether the student sees a strong association or not is less important than whether his or her answer uses the data appropriately and demonstrates understanding that an association means the distribution of favorite subject is different for 7th graders and 8th graders.

Type: Problem-Solving Task

Student Resources

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

Problem-Solving Tasks

Musical Preferences:

This problem solving task asks students to make deductions about the kind of music students enjoy by examining data in a two-way table.

Type: Problem-Solving Task

Music and Sports:

This task asks the student to gather data on whether classmates play an instrument and/or participate in a sport, summarize the data in a table and decide whether there is an association between playing a sport and playing an instrument. Finally, the student is asked to create a graph to display any association between the variables.

Type: Problem-Solving Task

What's Your Favorite Subject?:

Students are asked to examine data given in table format and then calculate either row percentages or column percentages and state a conclusion about the meaning of the data. Either calculation is appropriate for the solution since there is no clear relationship between the variables. Whether the student sees a strong association or not is less important than whether his or her answer uses the data appropriately and demonstrates understanding that an association means the distribution of favorite subject is different for 7th graders and 8th graders.

Type: Problem-Solving Task

Parent Resources

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

Problem-Solving Tasks

Musical Preferences:

This problem solving task asks students to make deductions about the kind of music students enjoy by examining data in a two-way table.

Type: Problem-Solving Task

Music and Sports:

This task asks the student to gather data on whether classmates play an instrument and/or participate in a sport, summarize the data in a table and decide whether there is an association between playing a sport and playing an instrument. Finally, the student is asked to create a graph to display any association between the variables.

Type: Problem-Solving Task

What's Your Favorite Subject?:

Students are asked to examine data given in table format and then calculate either row percentages or column percentages and state a conclusion about the meaning of the data. Either calculation is appropriate for the solution since there is no clear relationship between the variables. Whether the student sees a strong association or not is less important than whether his or her answer uses the data appropriately and demonstrates understanding that an association means the distribution of favorite subject is different for 7th graders and 8th graders.

Type: Problem-Solving Task