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## PYTHON calculate 3 more statistical analyses (max , mode,etc ..)

## PYTHON calculate 3 more statistical analyses (max , mode,etc ..)

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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## PYTHON calculate 3 more statistical analyses (max , mode,etc .) * stats.py from math import sqrt def getNumbers (): numa - 0 * sentinel loop to get numbers xStr - input ("Enter a number (<Enter> to quit) » ") while xStr !- ": * start with an empty list x - float (xStr) nums.append (x) YStr = input ("Enter a numher (<Enter> to quit) » ") # add this value to the list return nums def mean (nums): total - 0.0 for num in nums: total - total + num return total / len(nums) def stdDev (nums, xbar): sumDevsq - 0.0 for num in numa: - xbar sumDev3q - sumDev3q + dev • dev return sqrt(sumDevSq/(len(nums)-1)) dev- num def median(nums): nums.sort() size - len (nums) midPos - size // 2 if size % 2 - 0: mod = (nume (midPoe) + numa (midPoe-1)) / 2.0 else: med - nums (midPos) return med def main(): print("This program computes mean, median, and standard deviation. ") data - getNumbers() moan (data) std - stdDev (data, xbar) xbar - med - median (data) print ("\nThe mean in", xbar) print ("The standard deviation is", std) print ("The median is", med) if name main': main()
Transcribed Image Text:## PYTHON calculate 3 more statistical analyses (max , mode,etc .) * stats.py from math import sqrt def getNumbers (): numa - 0 * sentinel loop to get numbers xStr - input ("Enter a number (<Enter> to quit) » ") while xStr !- ": * start with an empty list x - float (xStr) nums.append (x) YStr = input ("Enter a numher (<Enter> to quit) » ") # add this value to the list return nums def mean (nums): total - 0.0 for num in nums: total - total + num return total / len(nums) def stdDev (nums, xbar): sumDevsq - 0.0 for num in numa: - xbar sumDev3q - sumDev3q + dev • dev return sqrt(sumDevSq/(len(nums)-1)) dev- num def median(nums): nums.sort() size - len (nums) midPos - size // 2 if size % 2 - 0: mod = (nume (midPoe) + numa (midPoe-1)) / 2.0 else: med - nums (midPos) return med def main(): print("This program computes mean, median, and standard deviation. ") data - getNumbers() moan (data) std - stdDev (data, xbar) xbar - med - median (data) print ("\nThe mean in", xbar) print ("The standard deviation is", std) print ("The median is", med) if name main': main()
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