Definition
Normal distribution is a continuous distribution measure in statistics and probability. This is because it is used in determining the central limit of distribution and is useful in the representation of values whose distribution is not known (Anderson, T. W, 1958).
Application of distribution in tossing a coin
When tossing a coin, one expect either a Head (H) or Tail (T).
Tossing a coin ten times the total possible expected outcomes = 2^10= 1024. When I flipped ten times, the results were HHTHHTHHHT 7H & 3T
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By finding the difference from the normal which is ½, we find the difference of H has 7/10-1/2=1/5 while the difference of T has ½-3/10=1/5 still thus the final answer is 1/5.
The reasons for change in distribution may be brought about by the rate of force applied in the tossing of the coin, the direction of the wind at the scene and hand positioning when handling the coin
Reference
Anderson, T. W., Anderson, T. W., Anderson, T. W., Anderson, T. W., & Mathématicien, E. U. (1958). An introduction to multivariate statistical analysis (Vol. 2, pp. 5-3). New York: Wiley.
