A government bureau keeps track of the number of adoptions in each region. The accompanying histograms show the distribution of adoptions and the population of each region. a) What do the histograms say about the distributions? b) Why do the histograms look similar? c) What might be a better way to express the number of adoptions?

Question

07-02-2020
Mathematics

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A government bureau keeps track of the number of adoptions in each region. The accompanying histograms show the distribution of adoptions and the population of each region. a) What do the histograms say about the distributions? b) Why do the histograms look similar? c) What might be a better way to express the number of adoptions?

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Answer:

A better option to express the results will be a cumulative frequency curve.

Step-by-step explanation:

At the moment, the moment, the question does not have a histogram, so we will explain the advantages of a frequency distribution curve or polygon.

The Cumulative Frequency Curve allows data to be interpreted continuously. The cumulative frequency prevents "gaps" that are found in the histograms. For instance, a histogram does not provide a frequency distribution of a certain type of data. In addition, the curves clarify better the trends in the data set. Furthermore, large data can be compressed and summarized in a compact form by using the distribution in the data set.