You suspect that teenage pregnancy rates vary considerably from state to state. After collecting the state-level teenage pregnancy data, you want to classify the information and display it on a choropleth (area pattern) map. However, you want to classify the data so that variation within each category is minimized while variation between categories is maximized (as much as possible). What simple classification do you propose?
a. quantile breaks
b. natural breaks
c. equal interval based on range
d. equal interval not based on range
Here' answer to the question. The answer is pretty clearly explained. In case of doubts, do write back to me:
The answer is b. Natural breaks:
Lets see the definition of "Natural breaks".
Applying the classification method of "natural breaks”, we consider visually logical and subjective aspects to grouping our data set. One important purpose of natural breaks is to minimise value differences between data within the same class. Another purpose is to emphasize the differences between the created classes.
Thus, natural break serves 2 ideas which we want.
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