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{"sheet":"Main","index":0,"n_rows":25,"n_cols":45,"rows_kept":25,"cut":false,"hidden":false,"merged":[[15,39,15,47],[11,39,11,43],[12,39,12,43],[13,39,13,43],[24,28,25,33],[24,34,25,38],[16,39,17,47],[13,44,13,47],[12,44,12,47],[24,25,25,26],[2,18,4,20],[24,19,25,24],[24,1,25,6],[24,7,25,8],[24,10,25,15],[24,16,25,17],[13,1,14,4],[16,1,17,4],[0,11,4,17],[0,28,4,36],[0,39,3,46],[1,1,11,9],[2,25,2,27],[3,25,3,27],[4,25,4,27],[11,44,11,47]]}
[null,null,null,null,null,null,null,null,null,null,null,"Population Normal Distribution Average ball weight 250.07 and SD = 4.37",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Understanding meaning of Center Limit Theorem",null,null,null,null,null,null,null,null,null,null,"Download from http://aksharait.com"]
[null,"This experiment explains the central limit theorem. Each event samples 24 balls from population having characteristics as explained previously . Standard Deviation of this sample as expected is that of population. However standard deviations of sample means get updated each time and after sufficient events it approchases to σ/√24 i.e. 0.89. This is the Central Limit Theorem (CLT). It holds good even if population probability distribution function is other than normal."]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INDEX",null,null,"Max",null,null,null,262.43]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Avg",null,null,null,250.07]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Min",null,null,null,238.6,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sample"]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sample Size",null,null,null,null,24]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"σ for population",null,null,null,null,4.37]
[null,"Repeat Experiment",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"σ for sample",null,null,null,null,4.37]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"for N events with N > 30"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"σ for means = σ/√24"]
[null,"Break",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"AS13/SQRT(AS12)","v":0.89202251466354077}]
[]
[]
[]
[]
[]
[]
[]
[null,"This Event Number     (not trials)",null,null,null,null,null,90,null,null,"Average of this event",null,null,null,null,null,249.50333333333333,null,null,"Standard Deviation of this sample",null,null,null,null,null,3.6851839242506701,null,null,"Standard Deviation of averages ( of 24 balls sample)  up till now",null,null,null,null,null,0.87560696814922256]

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