how to lie with statistics answers for blackboard

by Prof. Antoinette Feil Sr. 8 min read

What does bias look for in a newspaper?

May 28, 2021 · Yes, using statistics to lie is easy – as you will soon see. And … will offend the poll taker least (studies show the gender or race of the one asking the questions greatly affects the answers given), …

Is a report based on sampling really worth much?

Oct 04, 2021 · blackboard teacher jack black … Yes, using statistics to lie is easy – as you will soon see. And … will offend the poll taker least (studies show the gender or race of the one asking the questions greatly affects the answers given), …

What are the best books about lying with statistics?

camera, cannot lie. Not without help anyhow. Describing his book as 'a sort of primer in ways to use statistics to deceive', Darrell Huff goes on to introduce the beginner to the niceties of samples (random or stratified random), averages (mean, median or modal), errors (probable, standard or unintentional), graphs, indexes and

Can statistics be misleading?

Created Date: 11/7/2004 4:06:48 PM

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How do you lie with a statistics presentation?

5:5354:01How to Lie with Statistics - YouTubeYouTubeStart of suggested clipEnd of suggested clipAnd say well you know it's badly represented. But it's not necessarily a lie just whoever did it isMoreAnd say well you know it's badly represented. But it's not necessarily a lie just whoever did it is a bit incompetent. You know they've chosen are really bad by displaying that particular data.

How easy is it to lie with statistics?

Yes, using statistics to lie is easy - as you will soon see. And, statistics are a valid and useful tool. ... And, yes, statistics can be used to manipulate, obfuscate, sensationalize, and confuse. It will be clear to anyone who clicks on just how simple it is for anyone to learn to do all of that and more.Jul 28, 2011

How do you lie in a statistical summary?

Darrell Huff's book is about the long history of data deception. He explains the many ways data can be manipulated — to misrepresent facts, to tell a different story — in advertising, politics, and other areas and how to defend yourself from it.

Can statistics be manipulated?

There are several undeniable truths about statistics: First and foremost, they can be manipulated, massaged and misstated. ... Second, if bogus statistical information is repeated often enough, it eventually is considered to be true.May 24, 2014

How do you lie with statistics preview?

0:3622:04Summary of How to Lie With Statistics by Darrell Huff | Free AudiobookYouTubeStart of suggested clipEnd of suggested clipBut if writers aren't using words with honesty and readers don't know what they mean the result canMoreBut if writers aren't using words with honesty and readers don't know what they mean the result can only turn into nonsense. Even worse writers use statistics to deceive and dupe readers.

What is the main reason to use statistics in a speech?

Using numbers or statistics in a speech gives the message that you are conveying a persuasive element. The data that you provide makes the message quantifiable. The numbers can be used as a part of your argument or used to help support it.Jul 15, 2021

Which of the following should you do to make sure your statistics are representative?

Which of the following should you do to make sure your statistics are representative? -Different groups of a population sample must be in correct proportion.

What does it mean to make an example representative quizlet?

What does it mean to make an example representative? It is a typical example that proves a general point. It does not deal with rare or exceptional cases.

Biased Samples

  • Many conclusions you see come from samples that are too small, biased, or both. When you hear a statistic, say, that the average American brushes their teeth 1.02 times a day, ask yourself: “How could they have figured it out?” Does it make sense that it could have been researched effectively? In this case, they would have had to ask, and don’t you think it’s a safe assumption p…
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Biased Averages

  • There are three kinds of average: The mean: add up all the values and divide by the quantity of valuesThe mode: the most common valueThe median: the value in the middle of the sample These can be very different numbers, and reporters and others will pick the one that best supports their argument. In normal distributions, the three will be near each other, but in irregular distributi…
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Discarded Data

  • Companies will keep running experiments until they get the results they want, discarding the experiments that “failed to produce significant findings.” With smaller samples you have larger variance. With 10 coin flips you might get 8 heads, but you’re much less likely to get 80 heads in 100 coin flips.
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Graph Manipulation

  • These three are all the same graph (data wise), but very different impression wise: You have to look at the range of data being used on both axes. Another example:
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The Semiattached Figure

  • “If you can’t prove what you want to prove, demonstrate something else and pretend that they are the same thing.” For example: “You can’t prove that your nostrum cures colds, but you can publish (in large type) a sworn laboratory report that half an ounce of the stuff killed 31,108 germs in a test tube in eleven seconds.” More: ““27 percent of a large sample of eminent physicians smoke …
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Correlation vs. Causation

  • “It is the one that says that if B follows A, then A has caused B. An unwarranted assumption is being made that since smoking and low grades go together, smoking causes low grades. Couldn’t it just as well be the other way around?” “This is the post hoc fallacy at its best. It says that these figures show that if you (your son, your daughter) attend college you will probably earn more mo…
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How to Talk Back to A Statistic

  • These five questions help you avoid getting tricked by statistics. Who Says So? “About the first thing to look for is bias— the laboratory with something to prove for the sake of a theory, a reputation, or a fee; the newspaper whose aim is a good story; labor or management with a wage level at stake.” How Does He Know? “Watch out for evidence of a biased sample, one that has be…
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