Chapter 5 Multiple Choice Questions

. Which of the following statements best describes our opinion of bar charts?

They are great alternatives to histograms.

They are rarely the best option for quantitative data.

They are a combination of the best features of a histogram and a boxplot.

They are preferable for scientifically trained readers.

. Which of the following is always a good design choice to make when presenting boxplots of several samples?

Removing the whiskers to reduce clutter

Avoiding labelling the y-axis

Deleting outliers

None of the above

. Which of the following could aid interpretation when comparing histograms of different samples?

Using the same bin sizes for each sample

Using contrasting colours for each histogram

Making bins as small as possible

Making bins as large as possible

. In what situations might it be useful to manipulate the transparency of colours in a figure?

Where charts might have to be read in variable lighting conditions

In any situation when you want a chart to have a more professional look

When overlaying histograms on top of each other

When presenting data as a strip-chart

. Complete the statement: "When comparing multiple samples of quantitative data, …"

…histograms are more effective than boxplots.

…Sturges' rule becomes more reliable than the Rice rule.

…effective use of colour is the most important issue.

…boxplots are generally more effective than histograms.

. What should be an important consideration when deciding whether to use a boxplot or a bar chart?

Boxplots generally provide less detail about the distribution of the data than bar charts.

Bar charts generally provide less detail about the distribution of the data than boxplots.

Bar charts handle logged data more naturally than boxplots.

Bar charts are a better option for grouped data than boxplots.

. In a situation where you had grouped data and plotted values from two different treatments alongside each other, it would be important to include a ______ to explain the difference in design feature (most commonly colour) used to differentiate the treatments.

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