1. Learn: to organize and interpret data in frequency tables to organize and interpret data in frequency tables

2. A frequency table is constructed by arranging collected data values in ascending order of magnitude with their corresponding frequencies.

3. The list shows the average high temperatures for 20 cities on one February day. Make a cumulative frequency table of the data. 69, 66, 65, 51, 50, 50, 44, 41, 38, 32, 32, 28, 20, 18, 12, 8, 8, 4, 2, 2 Example 1: Organizing Data in a Frequency Table February Temperatures in 20 Cities Average Highs Frequency Cumulative Frequency Step 1: Look at the range to choose equal intervals for the data. 0–19 20–39 40–59 60–79

4. The list shows the average high temperatures for 20 cities on one February day. Make a cumulative frequency table of the data. 69, 66, 65, 51, 50, 50, 44, 41, 38, 32, 32, 28, 20, 18, 12, 8, 8, 4, 2, 2 Example 1 Step 2: Find the number of data values in each interval. Write these numbers in the “Frequency” column. February Temperatures in 20 Cities Average Highs Frequency Cumulative Frequency 0–19 20–39 40–59 60–79 7 5 5 3

5. The list shows the average high temperatures for 20 cities on one February day. Make a cumulative frequency table of the data. 69, 66, 65, 51, 50, 50, 44, 41, 38, 32, 32, 28, 20, 18, 12, 8, 8, 4, 2, 2 Example 1 Step 3: Find the cumulative frequency for each row by adding all the frequency values that are above or in that row. February Temperatures in 20 Cities Average Highs Frequency Cumulative Frequency 0–19 20–39 40–59 60–79 7 5 5 3 7 12 17 20