Statistics : Making Sense of Data | William F. Stout, John I. Marden, ...

Statistics : Making Sense of Data | William F. Stout, John I. Marden, ... | interesting and obscure text

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Statistics : Makin...

	Statistics : Making Sense of Data William F. Stout, John I. Marden, ... Mobius Communications Ltd, 1999 average customer review:based on 3 reviews
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Mathphobes relax! This introductory statistics text is designed to be easy to read and understand. Our text does not require a calculus background. With a hands-on, "experiential" approach; it gently teaches you all major statistical concepts through the use of simulation. In this third edition, a special effort was made to include a large number of exercises and examples. These real examples and data sets make statistical concepts come alive with meaning and interest.

modern approach to statistics that includes resampling methods

I found out about this book mainly because I am a resampling methods author and was discussing resampling one time with the a faculty member and chairman (Jan DeLeeuw) of the Statistics Department at UCLA. Apparently they were using it for the introductory statistics course that they give.

It is unusual to take a resampling approach to elementary statistics. The late Julian Simon at University of Maryland was the only other person that I know who used this approach. Many of us have recently been talking about doing this very thing and I included bootstrap resampling in my introductory biostatistics course.

The authors are well known as statisticians and probabilists with the right credentials to produce such a book. Both Stout and Marden teach in the Statistics Department of the University of Illinois. The book came out in 1999 and is already in its third edition. I finally got a copy of the third edition that just came out when this review was first written. So this is a review of the third edition.

The idea of starting beginning students out with simulated and real data sets instead of mathematical models is a good one. The authors execute this well. They are not doing it because they lack the capability to handle probability models. Stout has published in the top probability and statistics journals for years and has published several advanced books! Marden has also had a fine publication record in statistics.

Also I have not taught this way yet myself, I believe it can be done successfully and such an approach can be beneficial to the students. I have taught bootstrap confidence intervals as part of an elementary statistics course for health science majors and I do think that the bootstrap percentile method confidence intervals are more easily understandable than the parametric ones to these students and I suspect that other concepts based on resampling will also be more understandable to them.

So I am surprised that the other amazon reviewer found that the approach didn't work. All I can say is that it works at UCLA and I think it could work for me too using this text as the vehicle.

The authors start out in Chapter 1 with descriptive data including histograms, stem and leaf charts and pie charts. In Chapter 2 the cover measures of centrality and spread and in Chapter 3 relationships among variables. All this is covered without reliance on statistical models which are first introduced in Chapter 4. All important topics are covered and they make good use of cartoons and graphics much like Freedman's book "Statistics". Difficult topics are not avoided but are marked as optional. It has a large number of problem sets with explained solutions in the back of the book.

I would love to teach out of this book.

for more information click here

interesting and obscure text

I found out about this book only because I am a resampling methods author and was discussing resampling one time with the a faculty member of the Statistics Department at UCLA. Apparently they use it for the introductory statistics course that they give. It is unusual in taking a resampling approach to elementary statistics. The late Julian Simon at University of Maryland was the only other person that I know who used this approach. Many of us have recently been talking about doing this very thing.

The authors are well known statisticians with the credentials to produce such a book. Both Stout and Marden teach in the Statistics Department of the University of Illinois. The book came out in 1999 and is already in its third edition. I finally got a copy of the third edition that just came out so this is a review of the third edition... The idea of starting beginning students out with simulated and real data sets instead of mathematical models is a good one. The auithors execute this well. They are not doing it because they lack the capability to handle probability models. Stout has published in the top probability and statistics journals for years and has published several advanced books! Marden is no slouch either.

Also I have not taught this way yet myself, I believe it can be done successfully and such an approach can be beneficial to the students. I have taught bootstrap confidence intervals as part of an elementary statistics course for health science majors and I do think that the bootstrap percentile method confidence intervals are more easily understandable than the paraqmetric ones to these students and I suspect that other concepts based on resampling will also be more understandable to them. So I am surprised that the other amazon reviewer found that the approach didn't work. All I can say is that it works at UCLA and I think it could work for me too using this text as the vehicle.

The authors start out in Chapter 1 with descriptive data including histograms, stem and leaf charts and pie charts. In Chapter 2 the cover measures of centrality and spread and in Chapter 3 relationships among variables. All this is covered without reliance on statistical models which are first introduced in Chapter 4. All important topics are covered and they make good use of cartoons and graphics much like Freedman's book "Statistics". Difficult topics are not avoided but are marked as optional. It has a large number of problem sets with explained solutions in the back of the book.

I would love to teach out of this book.

for more information click here

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