How to lie with statistics summary

In this question it is asked that who is behind this information. The example of attending college and making money has been described as colleges normally get two types of students, one who has merit and other who have money power.

The example of smoking of doctors of a specific brand of cigarette or the juicer that works well than a previous one are simply representing the figure or results without describing the characteristics or features of the test.

In this case if we do median then it will give us the exact value that resides in the middle will appear. The example of measuring the size of the corn field tells us that each test comes with a percentage of probable error and while doing any comparison between two may come with very small difference.

The samples were not representative, the questions were not designed well meeting all the standards and the authenticity of their amount of income can be questioned.

But it is rather like being short-changed: Read This Book If: How to Talk Back to Statistics The last chapter of the book talks about how to avoid all the deception discussed in this book.

How to Lie with Statistics

The author has gone deep here to make it more understandable how a simple calculation can be mold in either way. The more the sample size is larger the more it is possible to be precise of the decision.

It's a great, simple read and you want to be able to say, "As it says in so classic and simple a book as How to Lie With Statistics--which, Professor, you have obviously studied--you are clearly hiding the truth!

Inferring a decision from a selected few is called sampling.

In the following part of that book the author has pointed finger on how the tricks are used to manipulate the report or give it a desired direction. This measure cannot give us precise figure rather gives us a range with a probable error range.

So you have to increase the monetary figures to adjust for inflation, big deal. The author has revealed that the intelligence test does not actually measures intelligence.

Also, if you do want to learn how to overstate your case or misrepresent something, this book can help. Numbers are always not good enough or adequate to make any report worthy to read or comprehendible.

It also shows how statistical graphs can be used to distort reality, for example by truncating the bottom of a line or bar chart, so that differences seem larger than they are, or by representing one-dimensional quantities on a pictogram by two- or three-dimensional objects to compare their sizes, so that the reader forgets that the images do not scale the same way the quantities do.

The author has tried to make its reader to think that if there is no meaning of the achieved findings then it will just be a scrap creating confusion. The examples cited in this regards are convincing and really an eye opener.Lies, Damn Lies, and Statistics: The Pirates of the Powerpoint Darrell Huff uses a simple, but effective literary device to impress his readers about how much statistics affect their daily lives and their understanding of the world/5.

How to Lie with Statistics by Darrel Huff Words | 3 Pages. I just finished reading really interesting book, How to lie with Statistics by Darrel Huff.

This books is all about a good cheat sheet to cheat with numbers. The moment someone mentions Statistics, the most often seen reaction is.

Statistics is a science as well as an art so it is often possible mold it ignoring its scientific feature or it may lose its beauty if it is used too much scientifically.

A balanced use is desired. Chapter How to Talk Back to Statistics The last chapter of the book talks about how. How to Lie with Statistics is a book written by Darrell Huff in presenting an introduction to statistics for the general reader. Not a statistician, Huff was a journalist who wrote many "how to".

The sample with a built-in bias: the origin of the statistics problems - the sample. Any statistic is based on some sample (because the whole population can't be tested) and every sample has some sort of bias, even if the person wanting the statistic tries hard to not create any.

Having covered the summary and critique of this book, a practical question remains: How can educators use this book? How to Lie with Statistics is a helpful, though sparse, introductory level supplement for use in classes on statistics, mathematics, critical thinking, and logic.

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How to lie with statistics summary
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