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Understanding Data: Creating and Analyzing Tables for Effective Record Keeping

This lesson focuses on the importance of tables for organizing and interpreting data. Students will learn to construct tables using examples from attendance records and temperature data. As part of the lesson, students will be challenged with problems that involve predicting outcomes based on data patterns. The activity includes real-life applications, such as tracking audience attendance over time and understanding temperature changes throughout the day. By the end of the lesson, students will develop critical skills in data analysis and visualization through table creation.

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Understanding Data: Creating and Analyzing Tables for Effective Record Keeping

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  1. 6-1 Make a Table Course 1 Warm Up Problem of the Day Lesson Presentation

  2. 6-1 Make a Table 23 24 13 78 58 5 2 8 Course 1 Warm Up Write the values in simplest form. 1. + 2. 1 3

  3. Problem of the Day If February 1 falls on a Tuesday, then March 1 falls on what day of the week? Tuesday or Wednesday, depending on whether or not it is a leap year.

  4. Learn to use tables to record and organize data.

  5. Additional Example 1: Application Use the audience data to make a table. Then use your table to describe how attendance has changed over time. On May 1, there were 275 people in the audience at the school play. On May 2, there were 302 people. On May 3 there were 322 people. Make a table. Write the dates in order so that you can see how the attendance changed over time. 275 302 322 From the table you can see that the number of people in the audience increased from May 1 to May 3.

  6. Check It Out: Example 1 Use the audience data to make a table. Then use your table to describe how attendance has changed over time. On April 1, there were 212 people at the symphony. On May 1, there were 189 people. On June 1 there were 172 people. Make a table. Write the dates in order so that you can see how the attendance changed over time. 212 189 172 From the table you can see that the number of people in the audience decreased from April 1 to June 1.

  7. Additional Example 2: Organizing Data in a Table Use the temperature data to make a table. Then use your table to find a pattern in the data and draw a conclusion. At 3 A.M., the temperature was 53°F. At 5 A.M., it was 52°F. At 7 A.M., it was 50°F. At 9 A.M., it was 53°F. At 11 A.M., it was 57°F. 53 52 50 53 57 The temperature dropped until 7 A.M., then it rose. One conclusion is that the low temperature on this day was 50°F.

  8. Check It Out: Example 2 Use the temperature data to make a table. Then use your table to find a pattern in the data and draw a conclusion. At 2 A.M., the temperature was 48°F. At 4 A.M., it was 46°F. At 6 A.M., it was 44°F. At 8 A.M., it was 47°F. At 10 A.M., it was 51°F. 48 46 44 47 51 The temperature dropped until 6 A.M., then it rose. One conclusion is that the low temperature on this day was 44° F.

  9. Lesson Quiz: Part 1 1. Humans have the following approximate heart rates at the ages given: newborn, 135 beats per minute (bpm); 2 years old, 110 bpm; 6 years old, 95 bpm; 10 years old, 87 bpm; 20 years old, 71 bpm; 40 years old, 72 bpm; and 60 years old, 74 bpm. Use this data to make a table.

  10. Lesson Quiz: Part 2 2. Use the data from problem 1 to estimate how many times per minute an 8-year-old’s heart beats. 91

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