Math Objectives
Identify different types of data, including categorical, numerical, discrete, and continuous.
Summarize categorical data using two-way tables
Interpret data in relative frequency tables in context, including identifying associations.
Common Core Math Standards
Personal Finance Objectives
Analyze real-world data about education and employment
National Standards for Personal Financial Education
Earning Income
3a: Evaluate the costs and benefits of investing in additional education or training
3c: Compare earnings and unemployment rates by level of education and training
Distribute to students
Math Objectives
Identify different types of data, including categorical, numerical, discrete, and continuous.
Summarize categorical data using two-way tables
Interpret data in relative frequency tables in context, including identifying associations.
Common Core Math Standards
Personal Finance Objectives
Analyze real-world data about education and employment
National Standards for Personal Financial Education
Earning Income
3a: Evaluate the costs and benefits of investing in additional education or training
3c: Compare earnings and unemployment rates by level of education and training
Distribute to students
The senior class at Evergreen High School is planning their prom! The prom planning committee decides to survey the class on their top options. They ask each senior whether they would prefer to hold prom at Sunset Lodge or the Aquarium and whether they prefer a Under the Sea or Starry Night theme.
Some of the survey results are:
The survey included 92 different students.
20 students said they’d prefer Starry Night at the Aquarium.
43 students said they’d prefer Sunset Lodge over the Aquarium.
47 students said they’d prefer Under the Sea over Starry Night.
18 students said they’d prefer Under the Sea at Sunset Lodge.
Use the above information to answer the following questions. Show all reasoning.
In the INTRO, you looked at a survey that gathered categorical data about prom options. Watch the video to learn about the different types of data. Then, answer the questions
Annotate the diagram with a definition or example for each type of data: categorical, numerical, discrete, and continuous.
We can organize data on two categorical variables by using a two-way table. A two-way table uses rows to represent one categorical variable and columns to represent the second categorical variable. Each cell of the table tells us how many data points fall into that particular intersection and totals are often included at the end of each row and column. Watch the video walkthrough and answer the questions.
Complete the two-way table using the data from the Intro.
Some of the survey results are:
The survey included 92 different students.
20 students said they’d prefer Starry Night at the Aquarium.
43 students said they’d prefer Sunset Lodge over the Aquarium.
47 students said they’d prefer Under the Sea over Starry Night.
18 students said they’d prefer Under the Sea at Sunset Lodge.
Complete the two-way table using the data from the Intro.
Some of the survey results are:
The survey included 92 different students.
20 students said they’d prefer Starry Night at the Aquarium.
43 students said they’d prefer Sunset Lodge over the Aquarium.
47 students said they’d prefer Under the Sea over Starry Night.
18 students said they’d prefer Under the Sea at Sunset Lodge.
Which options do you think the prom committee should choose? Explain your reasoning.
You’ve finally made it - you’ve graduated from high school! But what comes next? Let’s look at some data to see what recent high school graduates are doing
The table below shows observational data about the education and employment of recent high school graduates. It is based on the nationally representative sample from the Current Population Survey. Study the table and answer the questions.
Write one question that you could answer using the information in this table.
The table below shows the same data about recent high school graduates. However, it is organized differently to show the percentage of people who gave each response, instead of the number.
This is called a relative frequency table. It is a type of two-way table that shows percentages rather than counts. It is helpful for seeing if there is an association between two variables.
In the relative frequency table above, you saw another percentage describing the same group of 228 graduates: 8% of all recent graduates said they were both currently employed AND enrolled in 2-year college. Why are these three percentages different?
Mahlet wanted to find out if educational enrollment was associated with employment. Using the same data set about recent high school graduates, she built a different relative frequency table to compare the percentage of people who were employed, unemployed, or not in the labor force across each educational group.
How is Mahlet’s table different than the other tables we’ve seen for this data set?
Out of all recent high school graduates enrolled in a 4-year college, 73% are not in the labor force. Make an inference - why do you think that percentage is so high?
You’ve learned about correlation in previous lessons; when we talk about two-way tables, we use the term association to mean something similar.
Association refers to a relationship between two variables: when one variable changes, so does the other one. Correlation is a type of association that tells us more about the shape and strength of the relationship.
We can use relative frequency tables to determine whether two variables have an association. One of the easiest ways to know if there is an association is to work backwards: check if the variables have NO association. If there’s no association, the relative frequency values should be very similar across each column or row.
Part 1: No Association
The table below is an example of two variables with no association; it shows the percentage of American children with health insurance by age. You can see that the percentage of children with health insurance stays approximately the same in each age group.
Hypothesize: why is there no association between age and having health insurance for children?
How might the table be different if there was an association - if children were less likely to have health insurance as they got older?
Part 2: Association
The table below shows the percentage of American adults with health insurance by education level. Study the table and answer the questions.
Find the cell in the table with the value 91%. What is this cell telling you?
Based on this observational data, Owen concludes that there is an association between education level and having health insurance. What evidence from the table supports that conclusion?
Imagine a law passed tomorrow that required everyone to complete at least an associate’s degree. Do you think that would that cause more Americans to have health insurance? Why or why not?
Make an inference: What is one other variable that you think could be related to either education and/or health insurance?
Of students who enroll at 4-year colleges, how many graduate? Let’s explore some data about the graduation rates at different types of 4-year colleges: public, private non-profit, and private for-profit.
The table below based on a nationally representative sample of full-time students at 4-year colleges[1].
Is there an association between the type of college and graduation rate? Explain your reasoning.
Part 2: Student Loan Associations
Which of the data sets shows no association between the two variables? Explain your reasoning.
How does education level relate to unemployment rates? Explore the data below to find out.
The relative frequency table shows the percentage of adults who are employed by level of education. The data focuses on adults over 25 years old who are in the labor force (looking for work).
Find the cell with the value 3.5%. What is that cell telling you?
What percentage of adults with a high school diploma are employed?
There are approximately 15,318,000 adults in the labor force with an associate’s degree. Based on this data, how many of those adults would you expect to be unemployed?
Is there an association between education and employment? Explain your reasoning.
Different jobs have different educational requirements. Some careers require a specific degree, while others have more flexible requirements. Let’s explore 5 careers where workers have similar levels of education.
Use the first two-way table to complete the relative frequency table below.
Which of the following statements is true about the variables in the table above?
A There IS an association because more dietitians have a bachelor’s degree than any other education level
B There IS an association because there are more human resource managers than dietitians with a Master’s Degree
C There IS NO association because the same percentage of dietitians and human resource managers have each level of education
D There IS NO association because there are more human resource managers than dietitians
Read each survey question below and determine what type of data would be collected in response. For each question, circle categorical, discrete, or continuous.
categorical | discrete | continuous | |
|---|---|---|---|
How tall are you? | |||
What is your favorite color? | |||
How many pets do you have? | |||
Rate your experience on a scale of 1 to 10. |
Review Mahlet’s relative frequency table from the previous activity. Is there an association between educational enrollment and employment for recent high school graduates? Explain your reasoning. *Hint: “Out of all ____________, ___% are/have ________. This means ________ are more/less likely to ___________.”
Make an inference: why are unemployment rates similar for adults with doctoral degrees and professional degrees?