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.
I believe you could use a statement like "the end" but if I'm wrong could you explain please?
Answer: The answer to the question is as follows:
Minimum BW= n*Bc + (n-1) Bg
Explanation:
FDM is a multiplexing technique that takes several baseband signals of n Khz wide (let's assume that all have the same bandwidth), and translates them in frequency so they can be transmitted together, at a higher frequency.
If we assume no guard bands between the different signals, the mimum bandwidth needed would be n times the bandwidth of a single signal.
In order to avoid crosstalk between signals, as the communication channel is not perfect, it usually leaves some room between any 2 signals, which it is called a band guard, and because there is a band guard for any 2 contiguous signals in the spectrum, the total number of bandguards (Bg) will be equal to (n-1) signals, so the total bandwidth to be used will be as follows:
BW needed: n*Bc + (n-1) Bg.
