Question

SAT Score Analysis

You have been asked to analyze SAT scores (which may be 400 - 1600).  

You will be analyzing a population (a list) which consists of a number of

samples (lists) of student scores.

Here is the code to generate the  population/samples:

     import random

  population=[]

  for i in range(5):

  sample = []

  n = random.randint(5,10)

  for num in range(n):

  sample.append(random.randrange(400,1600))

  population.append(sample)  

The analysis should be conducted as follows:

  ##calculate the total number of scores  

  ##calculate the total value of all scores

  ##find the average score of the population  

  ##print the total number of scores  

  ##print the total value of all scores

  ##print the average of all of the scores

  ##while a sample has an average that is less than the

  ##average of all scores add a random value 1000 - 1600

  ##to the sample until the average is no longer less than

  ##the average of all scores

  ##please note: this could result in lots of numbers

  ##being appended to the sample

  ##print the population

  ##adjust the population by

  ##removing the highest and lowest scores from each sample

  ##print the (adjusted) population  

  ##calculate the total number of (adjusted) scores  

  ##calculate the total value of all (adjusted) scores

  ##find the average score of the (adjusted) population  

  ##print the total number of (adjusted) scores  

  ##print the total value of all (adjusted) scores

  ##print the average of all of the (adjusted) scores

Sample Output

Python 3.7.2 (v3.7.2:9a3ffc0492, Dec 24 2018, 02:44:43)

[Clang 6.0 (clang-600.0.57)] on darwin

Type "help", "copyright", "credits" or "license()" for more information.

>>>

RESTART: /Users/janetbrownsederberg/Stonehill/Stonehill_Fall_2020/CSC102A_Fall_2020/CSC102_Fall_2020_HomeworkSolutions_JBS/SAT_Analysis_While.py

Population is:

[[1241, 1398, 562, 1247, 1465, 1525, 1328, 825, 1161, 1418], [820, 614, 1299, 1304, 595, 938, 1297], [856, 772, 768, 1396, 625, 559], [975, 883, 1568, 704, 1588, 1485], [1025, 1424, 971, 499, 698, 671]]

Number of scores counted is:

35

Total value of all scores counted is:

36504

Average of all scores is:

1042.9714285714285

Adjusted population is:

[[1241, 1398, 562, 1247, 1465, 1525, 1328, 825, 1161, 1418], [820, 614, 1299, 1304, 595, 938, 1297, 1569], [856, 772, 768, 1396, 625, 559, 1159, 1305, 1152, 1311, 1098, 1336, 1048, 1000, 1547], [975, 883, 1568, 704, 1588, 1485], [1025, 1424, 971, 499, 698, 671, 1511, 1026, 1100, 1510]]

After removal of max an min values the population is:

[[1241, 1398, 1247, 1465, 1328, 825, 1161, 1418], [820, 614, 1299, 1304, 938, 1297], [856, 772, 768, 1396, 625, 1159, 1305, 1152, 1311, 1098, 1336, 1048, 1000], [975, 883, 1568, 1485], [1025, 1424, 971, 698, 671, 1026, 1100, 1510]]

Adjusted number of scores counted is:

39

Adjusted total value of all scores counted is:

43517

Adjusted average of all scores is:

1115.820512820513

>>>

Done in Python Format please. Other codes provided for this question on here were not correct

Answer 1

import random

population=[]

for i in range(5):

sample=[]

n=random.randint(5,10)

print n

for num in range(n):

sample.append(random.randrange(400,1600))

population.append(sample)

print "population is:",population

print "total number of scores:",len(population)

def sum(lst):

total = 0

for element in lst:

if (type(element) == type([])):

total = total + sum(element)

else:

total = total + element

return total

tot=sum(population)

print "Sum of all scores:",tot

avg=tot//len(population)

print "average of all scores:",avg

print "sample list is:",sample

sam_tot=sum(sample)

print "sample Sum is:",sam_tot

sam_avg=sam_tot//len(sample)

print "sample average:",sam_avg

while(sam_avg<avg):

sample.append(random.randrange(1000,1600))

sam_avg=sam_tot//len(sample)

print sample

def nested_remove(L, x):

if x in L:

L.remove(x)

else:

for element in L:

if type(element) is list:

nested_remove(element, x)

for i in range(5):

a=max(population[i])

nested_remove(population,a)

b=min(population[i])

nested_remove(population,b)

print "after remove min,max in each sample:",population

tot=sum(population)

print "Sum of all scores:",tot

avg=tot//len(population)

print "average of all scores:",avg

Hope this helpful
Kindly upvote please it will help ma alot and please dont downvote

THANK YOU IN ADVANCE