Answer:
import numpy as np
l_int = 55/100
h_int = 65/100
hist = np.histogram( paid_tax_preparers_list, bins=5, range=(l_int, h_int))
Explanation:
Numpy is a Python package used to ease mathematical and statistical research calculations. The package creates data structures called arrays that can be used as vector items, making it easy and fast for calculation to be done.
The np.histogram method is used to create or plot histograms of a list or array against the frequency of the items in the array. The bins and the range attributes are used to adjust the display of the histogram, with bins being the number of bin in the graph and range is the given length of the histogram.
A regular prototype minimizes constraints if compared to a paper one because possible problems in use can be identified easily.
<h3>What is a prototype?</h3>
This refers to the initial model of a product designed to test the features of the model before it is released to the market.
<h3>What are the differences between digital and paper prototypes?</h3>
Online protoypes are often time-saving, however, because some features of the prototype cannot be tested, a regular protoype is much better to identify possible problems in design or use.
Learn more about prototipes in: brainly.com/question/4622383
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