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  1. import numpy as math
  2. #Christine Tan 10 - Pagadian
  3.  
  4.  
  5.  
  6.  
  7. math_l=math.array([46, 12, 43, 33, 18, 31, 35, 43, 31, 45, 39, 36, 44, 36, 23, 24, 24, 27, 26, 49, 34, 38, 13, 41, 19, 39, 40, 23, 15, 17])
  8. math_l.sort()
  9.  
  10.  
  11.  
  12. print(" ")
  13. print("TROOP ASSIGNMENTS")
  14. print(" ")
  15. print("Location 1", math_l[0:3])
  16. print("Location 2", math_l[3:6])
  17. print("Location 3", math_l[6:9])
  18. print("Location 4", math_l[9:12])
  19. print("Location 5", math_l[12:15])
  20. print("Location 6", math_l[15:18])
  21. print("Location 7", math_l[18:21])
  22. print("Location 8", math_l[21:24])
  23. print("Location 9", math_l[24:27])
  24. print("Location 10", math_l[27:30])
  25. print()
  26. strength=math.array(([12,13,15,17,18,19,23,23,24,24,26,27,31,31,33,34,35,36,36,38,39,39,40,41,43,43,44,45,46,49]))
  27. print("1.Using the circumstances provided by your unit commander, how did you distribute the 30 men to the ten locations? ")
  28. print("")
  29. print("Answer: I put a line between every three troops I counted to categorize the numbers from smallest to largest. ")
  30. print("")
  31. print("2.Determine the median value of the supplied data (troop strengths). Where in the ten places can you locate the data's median value? Why do you assume this?")
  32. print("")
  33. print("Answer: The given data's median value, math.median(strength), is 33.5, which falls between the ends of locations 5 and 6. ")
  34. print("")
  35. print("3.For each site, what is the average deployment strength? How did you arrive at this conclusion? What does this mean in terms of unit deployment per location?")
  36. print("")
  37. print("Answer: The location's average deployment strength is (Loc 1:13.33 Loc 2: 18 Loc 3: 23.33 Loc 4: 25.66 Loc 5: 31.66 Loc 6: 35 Loc 7: 37.66 Loc 8: 40 Loc 9: 42.66 Loc 10: 46).")
  38. print("")
  39. print(" 4.Describe the form of the graph that your application displays. What does it resemble? Based on the data values you changed, how can you explain this occurrence?")
  40. print("Answer: Locations 1A TO 10B are gradually climbing, while the location 10C had a significant increase according to the data in the graph.")
  41. print("")
  42.  
Success #stdin #stdout 0.09s 24324KB
comments (?)
stdin 
Standard input is empty
stdout 
 
TROOP ASSIGNMENTS
 
('Location 1', array([12, 13, 15]))
('Location 2', array([17, 18, 19]))
('Location 3', array([23, 23, 24]))
('Location 4', array([24, 26, 27]))
('Location 5', array([31, 31, 33]))
('Location 6', array([34, 35, 36]))
('Location 7', array([36, 38, 39]))
('Location 8', array([39, 40, 41]))
('Location 9', array([43, 43, 44]))
('Location 10', array([45, 46, 49]))
()
1.Using the circumstances provided by your unit commander, how did you distribute the 30 men to the ten locations? 

Answer: I put a line between every three troops I counted to categorize the numbers from smallest to largest. 

2.Determine the median value of the supplied data (troop strengths). Where in the ten places can you locate the data's median value? Why do you assume this?

Answer: The given data's median value, math.median(strength), is 33.5, which falls between the ends of locations 5 and 6. 

3.For each site, what is the average deployment strength? How did you arrive at this conclusion? What does this mean in terms of unit deployment per location?

Answer: The location's average deployment strength is (Loc 1:13.33 Loc 2: 18 Loc 3: 23.33 Loc 4: 25.66 Loc 5: 31.66 Loc 6: 35 Loc 7: 37.66 Loc 8: 40 Loc 9: 42.66 Loc 10: 46).

 4.Describe the form of the graph that your application displays. What does it resemble? Based on the data values you changed, how can you explain this occurrence?
Answer: Locations 1A TO 10B are gradually climbing, while the location 10C had a significant increase according to the data in the graph.
https://ideone.com/FRlYzC
language:
Python (cpython 2.7.16)
created:
3 years ago
visibility:
public

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