Conclusions arrived at on both the above occasions are incorrect because of the following reason.
In case of first occasion: Batting average = 0.333 = 1/3 = 1 success in 3 trials is true only for large samples by Law of Large Numbers. Here since the sample size = n = 12< 30, Small Sample. So, Law of Large Numbers is not applicable. So, the conclusion that this time at bat he is more likely to get a hit because based on his average his is due is incorrect.
In case of second occasion: probability of a coin toss is 50/50 is true only for large samples by Law of Large Numbers. Here since the sample size = n = 4 < 30, Small Sample. So, Law of Large Numbers is not applicable. So, the probability that the next coin toss (#5) is not effected by the fact that the last four tosses all came up Heads.
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