Question

2 multiple - choice 10 points which of the following best explains why a histogram with several gaps or spaces may not accurately represent the distribution of a quantitative variable? (select the most appropriate response) outliers present in the dataset are disproportionately influencing the height of individual bars in the histogram. the data may be too sparse, leading to an unreliable visualization that does not reflect the true spread and shape of the data - set. the classes are too wide, which might over - smooth variability in the data and obscure important features. the scale on the horizontal axis is improperly labeled, causing misinterpretation of data intervals.

Explanation:

When data is sparse, gaps in a histogram can occur. These gaps can lead to an inaccurate representation as the visualization may not properly show the true distribution, spread, and shape of the data. Outliers influencing bar - heights, wide classes, or mis - labeled horizontal axis scales are not the main reasons for inaccuracy due to gaps.

Answer:

The data may be too sparse, leading to an unreliable visualization that does not reflect the true spread and shape of the data set.