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Misleading Data Visualizations – 200-300 words
One of the disturbing uses of statistics in the media is taking statistical information and displaying the information in an exaggerated manner to trick the reader into a certain point of view. On pages 98-100 of your textbook, pick one of the following problems:1, 2, 3a, 4a, 5, 6, 7a, 8, 9, 13, or 15. Discuss how the graph is misleading. Why might the graph’s creator have made the graph this way? How could the graph be improved to show the information in an unbiased manner? Do you think it is unethical to portray information in this way? Why or why not?
Misleading Data Visualizations – let’s examine Problem 3a from pages 98-100 of the textbook. This problem presents a bar graph comparing the average annual income of workers in two different industries: technology and manufacturing. The y-axis of the graph starts at $40,000 and extends to $60,000, with the bars for technology and manufacturing being $50,000 and $45,000 respectively.
The misleading aspect of this graph is the choice of y-axis scale. By truncating the y-axis at $40,000, the difference between the two bars appears more pronounced than it actually is. In reality, the difference between $50,000 and $45,000 is only $5,000. However, due to the y-axis starting at $40,000, this $5,000 gap looks significantly larger, thereby exaggerating the disparity between the two industries.
The creator of the graph might have designed it this way to emphasize the relative difference between…
Misleading Data Visualizations – let’s examine Problem 3a from pages 98-100 of the textbook. This problem presents a bar graph comparing the average annual income of workers in two different industries: technology and manufacturing. The y-axis of the graph starts at $40,000 and extends to $60,000, with the bars for technology and manufacturing being $50,000 and $45,000 respectively.
The misleading aspect of this graph is the choice of y-axis scale. By truncating the y-axis at $40,000, the difference between the two bars appears more pronounced than it actually is. In reality, the difference between $50,000 and $45,000 is only $5,000. However, due to the y-axis starting at $40,000, this $5,000 gap looks significantly larger, thereby exaggerating the disparity between the two industries.
The creator of the graph might have designed it this way to emphasize the relative difference between…