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07 May 2026, 10:03
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The Gantt chart (Official guide page 333) below shows a schedule for writing a children’s book. The top bar shows that Task A, writing the first draft, should be done over about five weeks in May and early June. Task B, the editor’s review, and Task C, adding illustrations, start when Task A ends. The lines pointing from the end of Task A to the beginnings of Tasks B and C mean that Tasks B and C can’t start until Task A is finished. So, if Task A isn’t finished on time, Tasks B and C will both have to be delayed. Tasks B and C are both scheduled to be finished by mid-August. But the thinner gray bar at the end of Task B’s main bar means the plan allows the editor’s review to take until the beginning of September if necessary—perhaps in case the editor needs extra time to review the illustrations. The arrows from Tasks B and C to Task D, the final revisions, mean that the final revisions can’t start until Tasks B and C are finished. Although Task D is supposed to be done by mid-October, a final thinner gray bar at the end of Task D’s main bar shows that the plan allows Task D to take until mid-November in case of delays. Notice that although this chart uses qualitative data, it can still support quantitative estimates of how long different part of project may take under various conditions
Giving one example of Grantt chart - The Gantt chart - Search Images
A histogram (Official guide page 336) looks like a bar chart but works differently. In a histogram, each bar stands for a range of values that the same variable can take. These ranges don’t overlap. Together they usually include every value the variable can take, or at least every value it does take in some population. The bars are in order from the one farthest left, which stands for the lowest range of values, to the one farthest right, which stands for the highest range. Each bar’s height shows the number or proportion of times the variable’s value is in the range the bar stands for. A bar chart clearly shows how the values are distributed
A scatterplot (page 338) has at least two quantitative variables, one on each axis. For each case in the data, a dot’s position shows the variables’ values. No lines connect the scattered dots, but a line through the scatterplot may show an overall trend in the data. Sometimes the dots have a few different shapes or colors to show they stand for cases in different categories. And in scatterplots called bubble charts, the dots have different sizes standing for values of a third variable. Scatterplots are useful for showing correlations. They also show how much individual cases fit an overall correlation or deviate from it
Giving one example of Grantt chart - The Gantt chart - Search Images
A histogram (Official guide page 336) looks like a bar chart but works differently. In a histogram, each bar stands for a range of values that the same variable can take. These ranges don’t overlap. Together they usually include every value the variable can take, or at least every value it does take in some population. The bars are in order from the one farthest left, which stands for the lowest range of values, to the one farthest right, which stands for the highest range. Each bar’s height shows the number or proportion of times the variable’s value is in the range the bar stands for. A bar chart clearly shows how the values are distributed
A scatterplot (page 338) has at least two quantitative variables, one on each axis. For each case in the data, a dot’s position shows the variables’ values. No lines connect the scattered dots, but a line through the scatterplot may show an overall trend in the data. Sometimes the dots have a few different shapes or colors to show they stand for cases in different categories. And in scatterplots called bubble charts, the dots have different sizes standing for values of a third variable. Scatterplots are useful for showing correlations. They also show how much individual cases fit an overall correlation or deviate from it
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