IM 6.8.3 Practice: Representing Data Graphically

A teacher drew a line segment that was 20 inches long on the blackboard. She asked each of her students to estimate the length of the segment and used their estimates to draw this dot plot.
[img]data:image/png;base64,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[/img][br][br]How many students were in the class?
Were students generally accurate in their estimates of the length of the line? Explain your reasoning.
Here are descriptions of data sets. Select [b]all [/b]descriptions of data sets that could be graphed as dot plots.
Priya recorded the number of attempts it took each of 12 of her classmates to successfully throw a ball into a basket. Make a dot plot of Priya’s data.
Solve each equation.
Find the quotients.
Find the area of each triangle.
Close

Information: IM 6.8.3 Practice: Representing Data Graphically