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11.7: Critical Analysis

  • Page ID
    64754

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    When critically analyzing visual representations of data, it is important to observe any overall impressions or trends. Because the interpretation of visual representations of data have a large degree of subjectivity, small details in plots and graphs should not be overinterpreted. Another important issue is to determine whether the visual representation has been manipulated to cover up a trend, or perhaps make a trend appear where one does not really exist in the data.

    The key questions when critically analyzing bar charts frequency distributions are:

    1. How do the frequencies compare to one another?
    2. Has the horizontal axis been ordered in a way to make it appear that there is a trend in the frequencies?
    3. Has the horizontal axis been ordered in a way to emphasize a comparison between two categories?
    4. Is the vertical axis properly scaled so that it starts at zero and has a range large enough to accommodate the data but not de-emphasize differences between categories?

    The key questions when critically analyzing pie charts are:

    1. Do some responses have higher frequencies than others?
    2. Do some responses have lower frequencies than others?
    3. Are the frequencies of all the responses about the same?
    4. For a sequence of pie charts, is there a trend in the frequencies of the responses or do all the pie charts appear to be similar?
    5. Have the pie charts been manipulated to emphasize or de-emphasize the frequencies for some responses, such as using a three-dimensional pie chart?

    The key questions when critically analyzing line graphs are:

    1. Is there a trend in time in the graph or is the line constant throughout the time period?
    2. Are there times when there are peaks or valleys in the graph?
    3. If more than one line is represented in the graph, how do the trends between the lines compare? Do they peak at similar times? Are there valleys at similar times?
    4. Is the vertical axis properly scaled so that it starts at zero and has a range large enough to accommodate the data but not de-emphasize trends or differences?

    The key questions when critically analyzing histograms are:

    1. How do the frequencies compare to one another?
    2. Is there a trend in the frequencies?
    3. Are there gaps in the histogram where no data was observed in some classes?
    4. How many modes does the histogram have?
    5. If the histogram is unimodal, is it symmetric, skewed left, or skewed right?
    6. Is the vertical axis properly scaled so that it starts at zero and has a range large enough to accommodate the data but not de-emphasize differences between classes?

    The key questions when critically analyzing scatterplots are:

    1. Does the plot show an association between the two variables?
    2. Are there areas of the scatterplot where few data points were observed?
    3. Are there any points far away from the clod of points that would be an outlier?
    4. Are the axes properly scaled?

    This page titled 11.7: Critical Analysis is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by .

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