Re: question about the book and the CLT
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To the authors of this book,
kudos on bringing up some great topics....HOWEVER, it appears that this book has some errors, specifically w.r.t how you try to lay out the Central Limit Theorem in Chapter 2. It appears that you guys are claiming that if you collect enough data, then it starts to follow a normal distribution and you attempt to use this throughout the book. The problem with this claim is that this is not what the CLT says at all. The data is the data, no matter how much of it you collect, and it is never guaranteed to follow any type of distribution at all. What the CLT says, in fact, is that sums/means will follow the normal distr, not the actual data. Its very confusing and makes the book very hard to follow in places.
Please address,
SB
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The discussion of the Central Limit Theorem (p24) says:
The distribution of outcomes of a sample is itself a distribution, and is called the sampling distribution. An important result from statistics, the Central Limit Theorem%
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