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View Help Trusted Pythe Insert + Cell Run Kernel C Widgets Code import numpy as np import matplotlib.pyplot as plt import ipywidgets as widgets Exercise:

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View Help Trusted Pythe Insert + Cell Run Kernel C Widgets Code import numpy as np import matplotlib.pyplot as plt import ipywidgets as widgets Exercise: Consider the sum p(X) = which is the probability of measuring zero to ten counts in a process that has a Poisson distribution with average value of a Create a slider that allows for values of 1 from 1 to 20 in increments of 0.1 that calculates p(x). (Note: you will use the factorial function you created in lab... you may need to copy and paste your function from Lab 1 into this workbook ... and the exponential function is given by np.exp(-lambda).) You should notice if i is small, the probability should be near 1, and this probability gets smaller as i gets bigger. (Please note that lambda is a command that Python uses, so you cannot use lambda as a variable name.) ]: def factorial(n): if. (n -- 0): print(1) return(1) else: d = 1 for i in range(1,0 + 1)

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