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Circle Graphs, Line Graphs, and Scatter Plots

The topic deals with constructing, reading and analyzing data with the help of circle graphs, line graphs, and scatter plots.

Topic: Make and Interpret a Line graph

  • Data that shows change over time is best displayed in a line graph

  • The scale must include all of the data values. The interval separates the scale into equal parts

  • The scale and interval should be chosen such that all the data values can be clearly marked on the graph

  • Mark a point for the data set and connect the points

Topic: Estimation and Prediction Using Line Graphs

  • In a line graph, line segments are used to connect data points on a coordinate grid

  • A line graph is used to show how data changes over a period of time

  • To predict a value on a line graph, extend the line in that direction and find the corresponding values on the x or y axis

Topic: Make and Interpret a Double Line Graph

  • A double line graph is a method of displaying a set of data, often used to compare two sets of data and the changes in them over time

  • The scale must include all of the data values. The interval separates the scale into equal parts

  • The scale and interval should be chosen such that all the data values can be clearly marked on the graph

Topic: Reading and Interpreting Circle Graphs

  • A circle graph, also called a pie chart, shows how a set of data is divided into parts

  • The entire circle contains 100% of the data. Each sector, or slice, of the circle represents one part of the entire data set

  • A smaller sector of the circle represents smaller part of the data and larger part of circle represents larger part of the data

Topic: Making Scatter Plots and Predictions

  • A scatter plot has two number lines, called axes- one for each set of data values. Each point on the scatter plot represents a pair of data values

  • These points may appear to be scattered or may cluster in the shape of a line or a curve

Topic: Correlations in Scatter Plots

  • The data sets plotted on the plot area said to be negatively correlated if the values in one data set increase as the values in the other set decreases

  • The data sets plotted on the plot area said to be positively correlated if the values in both data sets increase at the same time

  • The data sets plotted on the plot area not correlated if the values in both the data sets do not show any pattern

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