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Understanding Frequency Tables and Line Plots: A Guide to Data Representation

This guide covers the fundamentals of frequency tables and line plots for data analysis. A frequency table organizes data, showing how often each item appears within a dataset. For example, placing favorite NFL teams into a frequency table illustrates team popularity. On the other hand, a line plot visually represents data distribution by stacking marks above values on a number line, helpful for displaying grades or other quantitative data. Additionally, we discuss calculating the range of a dataset, defined as the difference between the highest and lowest values.

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Understanding Frequency Tables and Line Plots: A Guide to Data Representation

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  1. 2-1 and 2-3 Frequency Tables and Line Plots

  2. Frequency Table • A frequency table lists each item in a data set with the number of times each item occurs. Example: Place the favorite NFL teams into a frequency table. 49ers Bears Bears Bears Bills Rams Bears Steelers 49ers Broncos Rams Lions

  3. Favorite Team Team Tally Frequency 49ers II 2 Bears IIII 4 Bills I 1 Broncos I 1 Lions I 1 Rams II 2 Steelers I 1

  4. Line Plot • A line plot is a graph that shows the shape of the data set by stacking X’s above each data value on a number line. Draw a line plot for the following semester grades: Grade Students A 4 B 7 C 5 D 1

  5. Semester Grades X X X X X X X X X X X X X X X X X A B C D

  6. Range • The range of a data set is the difference between the least and greatest values. • Subtract: Highest number minus lowest number.

  7. Homework Time

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