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

Done in Python Format please

Answer 1

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)
total = score = 0;
for sample in population:
    total+=len(sample)
    score+=sum(sample)
avg = score/total
print("Sum of scores =",score)
print("Total no. of scores =",total)
print("Average score = ",avg)
print()
print("Population after average adjustment : ")
print()
for sample in population:
    savg = sum(sample)/len(sample)
    while(savg<avg):
        sample.append(random.randint(1000,1600))
        savg = sum(sample)/len(sample)
for sample in population:
    temp = list(map(str,sample))
    print(','.join(temp))
print()
print("Population after extremum adjustment : ")
print()
for sample in population:
    mx = max(sample)
    mn = min(sample)
    sample.remove(mx)
    sample.remove(mn)
    temp = list(map(str,sample))
    print(','.join(temp))
total = score = 0
for sample in population:
    total+=len(sample)
    score+=sum(sample)
avg = score/total
print()
print("Sum of adjusted scores =",score)
print("Total no. of adjusted scores =",total)
print("Average adjusted score = ",avg)