Statistics

Problem Statement for "Average"

Problem Statement

You have acquired a list of the math and verbal test scores from all the children in the county. Write a class Average that contains a method belowAvg that takes two int[], math and verbal, representing the math and verbal scores of all of the children in the county, and returns the number of children who have a composite score which is below average in the county.

The composite score is defined to be the sum of a child's math and verbal scores.

Definition

Class:
Average
Method:
belowAvg
Parameters:
int[], int[]
Returns:
int
Method signature:
int belowAvg(int[] math, int[] verbal)
(be sure your method is public)

Notes

  • each element of math corresponds to the element with the same index in verbal.
  • the number of children is the length of math and verbal.

Constraints

  • math and verbal will contain the same number of elements.
  • math will contain between 1 and 50 elements, inclusive.
  • each value in math and in verbal is between 200 and 800, inclusive.

Examples

  1. {200,250,700,700}

    {400,400,400,400}

    Returns: 2

    The composite scores of the 4 children are 600, 650, 1100, and 1100 and the average composite score is 862.5, so 2 of the children are below average.

  2. {500,400}

    {300,400}

    Returns: 0

    Both children have the same composite score 800 which is also the average. Neither are below average

  3. {293}

    {799}

    Returns: 0

  4. {400,400,400,400,400,400,401}

    {400,400,400,400,400,400,400}

    Returns: 6

    The average composite score is just above 800, so 6 of the 7 children are below average.

  5. {707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707}

    {707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707}

    Returns: 0

  6. {707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707}

    {707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,708,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707}

    Returns: 49

  7. {707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,706,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707}

    {707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707,707}

    Returns: 1

  8. {800,300,799}

    {800,800,800}

    Returns: 1

  9. {350,350,450}

    {350,450,450}

    Returns: 1

  10. {350,351,450}

    {350,448,450}

    Returns: 2

  11. {249,250,250,250,250,250,250,250,250,250,250,250,249,253,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,249}

    {250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250,250}

    Returns: 3

  12. {400,400,400,401}

    {400,400,400,400}

    Returns: 3

  13. {200,300,250,400}

    {200,400,640,245}

    Returns: 2

  14. {400,400,400,401}

    {400,400,400,400}

    Returns: 3

  15. {400,400,400,400,400,400,401}

    {400,400,400,400,400,400,400}

    Returns: 6

  16. {400,400}

    {400,400}

    Returns: 0

  17. {300,300,300}

    {300,302,305}

    Returns: 2

  18. {400,400,401}

    {400,400,400}

    Returns: 2

  19. {400,400,400,400,400,400,401}

    {400,400,400,400,400,400,400}

    Returns: 6

  20. {400,400,400,400,400,400,401}

    {400,400,400,400,400,400,400}

    Returns: 6

  21. {400,400}

    {400,401}

    Returns: 1

  22. {400,400,400,400,400,400,401}

    {400,400,400,400,400,400,400}

    Returns: 6

  23. {200,200,800}

    {200,200,800}

    Returns: 2

  24. {300,300,300}

    {300,302,305}

    Returns: 2

  25. {200,200,201}

    {200,200,200}

    Returns: 2

  26. {200}

    {200}

    Returns: 0

  27. {201,200,200,200,200}

    {200,200,200,200,200}

    Returns: 4

  28. {200,201}

    {200,200}

    Returns: 1

  29. {200,201}

    {200,201}

    Returns: 1

  30. {200,200,201}

    {200,200,200}

    Returns: 2

  31. {551,440,400}

    {410,440,400}

    Returns: 2

  32. {300,500,500}

    {300,500,500}

    Returns: 1

  33. {201,200,200,200,200}

    {200,200,200,200,200}

    Returns: 4

  34. {551,440,400}

    {410,440,400}

    Returns: 2

  35. {300,301}

    {300,300}

    Returns: 1

  36. {200,200,201}

    {200,200,200}

    Returns: 2

  37. {200,200,201}

    {200,200,200}

    Returns: 2

  38. { 400, 400, 400, 400, 400, 400, 401 }

    { 400, 400, 400, 400, 400, 400, 400 }

    Returns: 6

  39. { 400, 600, 800 }

    { 400, 600, 800 }

    Returns: 1

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