The following graph shows the median income for females from 2010 to 2014 . Complete parts (a) and (b) below. Click the icon to view the graph of female income. (a) How is the bar graph misleading? What does the graph seem to convey? Choose the correct answer below. A. The horizontal axis ends at 2014 instead of this year. This means all of the data between 2014 and this year are included in the 2014 bar, sc the 2014 bar is larger than it should be. B. The vertical axis starts at 34,000 instead of 0 . This makes where the bars should start unclear. The vertical scaling is incorrect. All the bars look larger than they should. C. The vertical axis starts at 34,000 instead of 0 . This tends to indicate that the median income for females changed at a faster rate than it actually did. D. The horizontal axis starts at 2010 instead of 2000 . This means alt of the data from 2000 through 2004 are included in the 2040 bar, so the \( 20 t 0 \) bar is larger than it should be.
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B. The vertical axis starts at 34,000 instead of 0. This makes where the bars should start unclear. The vertical scaling is incorrect. All the bars look larger than they should. The choice highlights a common pitfall in data visualization. When graphs don't start at zero on the vertical axis, they can exaggerate differences between data points, leading to misleading interpretations. It’s like showing off your height by only comparing against the shortest person in a crowd! Always check the scale before jumping to conclusions. When evaluating graphs, it’s essential to look critically at how data is represented. Misleading visuals can distort the real story; a well-constructed chart should accurately depict trends without bias. If you spot something fishy, don’t hesitate to dig deeper!
