Skip to ContentGo to accessibility page
Algebra 1

4.10.2 Interpreting Graphs and Statements in Terms of a Situation

Algebra 14.10.2 Interpreting Graphs and Statements in Terms of a Situation

4.10.2 Interpreting Graphs and Statements in Terms of a Situation

4.10.2 • Interpreting Graphs and Statements in Terms of a Situation

Activity

H(t)H(t) is the percentage of homes in the United States that have a landline phone in year tt. C(t)C(t) is the percentage of homes with only a cell phone. Here are the graphs of HH and CC.

1. Estimate H(2006)H(2006).

2. Explain what this value tells us about the phones.

3. Estimate C(2006)C(2006).

4. Explain what this value tells us about the phones.

5. What is the approximate solution to C(t)=20C(t)=20?

6. Explain what the solution to C(t)=20C(t)=20 means in this situation.

7. Is this equation true: C(2011)=H(2011)C(2011)=H(2011)?

8. Explain how you know if the equation is true or not.

9. Is this equation true: C(2015)=H(2015)C(2015)=H(2015)?

10. Explain how you know if the equation is true or not.

11. Between 2004 and 2015, did the percentage of homes with landlines decrease at the same rate at which the percentage of cell-phones-only homes increased?

12. Explain the reasoning for your response to question 11.

Self Check

A Mars rover collected the following temperature data over 1.6 Martian days. A Martian day is called a Sol. The graph below displays the air and ground temperatures in Celsius ( y -axis) for specific times measured in Sols ( x -axis). Which of the following is true about the comparison between ground temperature and air temperature?

  1. The air temperature is always warmer than the ground temperature.
  2. At 11 Sols, the air temperature is warmer than the ground temperature.
  3. The ground temperature is always warmer than the air temperature.
  4. At 11 Sols, the ground temperature is warmer than the air temperature.

Additional Resources

Comparing Populations

Graphs are very useful for comparing two or more functions. Here are graphs of functions CC and TT, which give the populations (in millions) of California and Texas in year xx.

What can we tell about the populations? How can we tell? How can we convey this with function notation?
In the early 1900s, California had a smaller population than Texas. The graph of CC is below the graph of TT when xxis 1900. C(1900)<T(1900)C(1900)<T(1900)
Around 1935, the two states had the same population of about 5 million people. The graphs intersect at about (1935,5)(1935,5). C(1935)=5C(1935)=5 and T(1935)=5T(1935)=5, and C(1935)=T(1935)C(1935)=T(1935)
After 1935, California has had more people than Texas. When xx is greater than 1935, the graph of C(x)C(x) is above that of T(x)T(x). C(x)>T(x)C(x)>T(x) for x>1935x>1935
Both populations have increased over time, with no periods of decline. Both graphs slant upward from left to right.  
From 1900 to 2010, the population of California has risen faster than that of Texas. California had a greater average rate of change. If we draw a line to connect the points for 1900 and 2010 on each graph, the line for C has a greater slope than that for T. C(2010)−C(1900)201−1900>T(2010)−T(1900)2010−1900C(2010)−C(1900)201−1900>T(2010)−T(1900)2010−1900

Try it

Comparing Populations

Examine the graph given above that displays the populations of California and Texas over time.

1. Which state had a greater population in 1920?

2. Write a true mathematical statement using function notation to describe which state has the greater population in 1920.

Citation/Attribution
Reuse and redistribution of this content in digital or print format:
  • This book may not be used in the training of large language models or otherwise be ingested into large language models or generative AI offerings without OpenStax's prior written permission.
  • This book uses the Creative Commons Attribution-NonCommercial-ShareAlike License, which means that you can reuse and modify the material only for noncommercial purposes, must attribute OpenStax, and must distribute any derivative works under the same license.
  • Any commercial printing of this textbook, including using a local or custom printer, must be approved by OpenStax, and proper citation provided.
  • OpenStax-copyrighted images, activities, assessments, and similar components of this book are subject to the same licensing – CC-BY-NC-SA. They can be used for noncommercial purposes with attribution. Commercial use requires permission.
  • Permission requests: Anyone who intends to incorporate this content (including text, images, and other components) into large language models, use it in AI offerings, use it commercially (including in print), and/or has questions about another use case is welcome to complete our reuse request form.
Attribution information
  • If you are redistributing all or part of this book in a noncommercial print format, then you must include on every physical page the following attribution:

    Access for free at https://openstax.org/books/algebra-1/pages/about-this-course

  • If you are redistributing all or part of this book in a noncommercial digital format, then for every page that includes OpenStax content, you must license the derivative work under the same CC-BY-NC-SA license as the original, and include on every digital page view the following attribution:

    Access for free at https://openstax.org/books/algebra-1/pages/about-this-course

Citation information

The information below includes the information needed to generate citations in most major styles (APA, MLA, etc.); you must reformat and organize the information as needed to fit the requirements of the style. Use the information below to generate a citation. We recommend using a citation tool such as this one.

© Apr 23, 2026 OpenStax. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. The OpenStax name, OpenStax logo, OpenStax book covers, OpenStax CNX name, and OpenStax CNX logo, and Rice University name, and Rice University logo trademarks, or wordmarks are not subject to the Creative Commons license and may not be reproduced without the prior and express written consent of Rice University.