We use cookies to ensure you have the best browsing experience on our website. Please read our cookie policy for more information about how we use cookies.
  1. Prepare
  2. Artificial Intelligence
  3. Probability & Statistics - Foundations
  4. Standard Deviation Puzzles - 5
  5. Discussions

Standard Deviation Puzzles - 5

Sort by

recency

|

7 Discussions

|

  • nadh_if_taher_a1
     + 0 comments

    SD[X] = sqrt(expectation[(X-mean)**2]) if every X is added 10 units, the mean will be 45 (prev mean) + 10. So the new SD[X]: SD[X+10] = sqrt(expectation[(X+10-(mean+10))**2]) = sqrt(expectation[(X-mean))**2]) = SD[X] (old std.dev)

  • mokshithakakarl1
     + 0 comments

    original_sd = 10 new_sd = original_sd print(f"{new_sd:1f}")

  • petitmath
     + 0 comments

    The checker is broken. It accepts 9.9 and 10.1 values, while none of them are actually correct.

  • amr_askar
     + 0 comments
    import numpy as np
np.random.seed(0)
scores = np.random.normal(loc=45, scale=10, size=500) + 10
s = np.std(scores)
print(f'{s:0.1f}')

  • bbehmori
     + 0 comments

    SD is constant and stays almost the same

    x = np.random.normal(loc = 45, scale = 10, size = 500) 
x1 =[x+10 for x in x]
np.std(x1) = 10