The campaigning figure shows a how we feel conception, mileage and get yes for 2 different models of a car. How is the graph misleading? How can it be drawn so that it is not misleading? What is the answer A? The graph is misleading because the height of each bar is pronounced. To fuel consumption for 2 cars, but the area of each bar is Proportional to describe each car's feel b. The graph is misleading because it does not use uniform scale for bread access. The graph is misleading because the virtual access at scale does not start at 0. The gret date the grab, it's misleading you. Because the fuel is coming is given each car What is the answer

1 answer

Based on the details you've provided, it sounds like you're analyzing a bar graph that compares fuel consumption (mileage) for two different car models. Let's break down the potential misleading aspects and how to correct them.

  1. Misleading Aspects:

    • Non-uniform Scale: If the bars don't use a consistent scale on the x or y-axis, it can distort the perception of the data. For example, if one bar is twice as tall but the scale makes it seem more exaggerated, it can mislead viewers about the differences.
    • Axis Not Starting at Zero: If the y-axis (representing fuel consumption) does not start from zero, it can exaggerate the differences between the two models, making one appear significantly worse or better than it is.
    • Area versus Height Misrepresentation: If the area of the bars is not proportional to the values being represented, it can mislead interpretations. Each bar should represent the same category (fuel consumption) consistently.
  2. Correcting the Graph:

    • Ensure the y-axis starts at zero to give a more accurate visual comparison.
    • Use a consistent scale for both axes to avoid misleading perceptions.
    • Represent data as height or area consistently based on what is being measured.

Answer Options

Based on your text, the misleading nature of the graph is likely the following:

  • c: "The graph is misleading because the vertical axis scale does not start at 0." This is a common issue that can significantly distort the viewer's understanding of the data.

If these answers align with your observations, then it would be appropriate to select option c as the answer.