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Q: What is the best graph suited for comparing two sets of data across categories?
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Which graph type is best suited for comparing afterschool activities of students?

bar graph


Which graph type is best suited for comparing after school activities of students?

pie chart


Which graph is best suited for comparing the sales of two different types of toys sold at a toy store?

bar graph


Which graph type is best suited for comparing the sales of two different types of toys sold at a toy store?

bar graph


What graph type is best suited for comparing the sales of two different type of toys sold at a toy store?

bar graph


What is comparing graph?

A comparing graph is a graph that compares number to see if they similar or different.


Which graph type is best suited for comparing the total number of cookies and brownies sold at a bake sale each day?

What type of graph is best suited for displaying the range and frequency distribution of the temperature at the airport for two weeks? A. bar graph B. pie chart C. stem-and-leaf plot D. histogram


Which type of graph is best suited for comparing the hours that two students work as babysitters each week?

A grouped bar chart or, if comparing over a very long period, a pair of lines.


What graph would be best for comparing?

If they things you are comparing part of a whole, pie graph. If not, bar graph.


What graph should you use to compare the number of games won by each sport team at a school?

The best graph for the purpose of comparing raw numbers between different qualitative categories would be a bar graph or some variation thereof.


What type of graph is best suited for comparing the acceleration of automobiles?

For comparing the acceleration of automobiles, a velocity vs. time graph is most efficient, where time is the x value, and velocity the y value. The greater the acceleration of the automobile, the steeper the slope of its respective plotted line.


Disadvantages of a bar graph?

Not very good for a large number of categories. Not good for comparing two (or more) variables, especially if one is not consistently bigger than the other. Very poor for comparing a large number of variables.