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A histogram is better for continuous data and a frequency polygon is better for discrete data is the correct answer.
In this question,
Histograms are good for showing general distributional features of dataset variables. A histogram is a graph that shows the frequency of numerical data using rectangles. The height of a rectangle represents the distribution frequency of a variable. It is used to locate the mode of the frequency distribution and not medians.
Histograms visualize quantitative data or numerical data. Histograms are good for showing general distributional features of dataset variables. It is used for data between intervals.
A frequency polygon is a graph constructed by using lines to join the midpoints of each interval or bin. An absolute frequency polygon has peaks that describe the actual number of points in the associated interval. It indicates the number of occurrences for each distinct class in the dataset.
Frequency polygons can be used to visualize discrete ungrouped data whereas a histogram can only be used to represent grouped frequency distributions.
Hence we can conclude that a histogram is better for continuous data and a frequency polygon is better for discrete data is the correct answer.
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The complete question is as follows
A histogram is better for _____________ data and a frequency polygon is better for ________data.
a) discrete data, continuous data
b) continuous data, discrete data
c) neither a or b are correct
d) both a and b are correct
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