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Table of Contents
How do you make statistics lie?
- View Correlations with Skepticism. …
- Relationships Don’t Last Forever. …
- Always Look at the Axes on a Chart. …
- Small Samples Produce Shocking Statistics. …
- Look at all the Numbers that Describe a Dataset. …
- Check which Average is Used. …
- Use Comparisons to a Common Baseline.
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.
This is How Easy It Is to Lie With Statistics
Images related to the topicThis is How Easy It Is to Lie With Statistics
What is meant by lying with statistics?
Description: This can be seen as an entire class of fallacies that result in presenting statistical data in a very biased way, and of course, interpreting statistics without questioning the methods behind collecting and presenting the data.
How do you lie about statistics quotes?
“A well-wrapped statistic is better than Hitler’s “big lie” it misleads, yet it cannot be pinned on you.” “proper treatment will cure a cold in seven days, but left to itself a cold will hang on for a week.”
What can be done to numbers to mislead?
The data can be misleading due to the sampling method used to obtain data. For instance, the size and the type of sample used in any statistics play a significant role — many polls and questionnaires target certain audiences that provide specific answers, resulting in small and biased sample sizes.
What is the main reason you would include 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.
Summary of How to Lie With Statistics by Darrell Huff | Free Audiobook
Images related to the topicSummary of How to Lie With Statistics by Darrell Huff | Free Audiobook
How do you lie with statistics chapters?
- Chapter 1: The Sample with Built-in Bias. …
- Chapter 2: The Well-Chosen Average. …
- Chapter 3: The Little Figures That Are Not There. …
- Chapter 4: Much Ado about Practically Nothing. …
- Chapter 5: The Gee-Whiz Graph. …
- Chapter 7: The Semiattached Figure. …
- Chapter 8: Post Hoc Rides Again.
What is an example of using statistics to mislead?
In 2007, toothpaste company Colgate ran an ad stating that 80% of dentists recommend their product. Based on the promotion, many shoppers assumed Colgate was the best choice for their dental health. But this wasn’t necessarily true. In reality, this is a famous example of misleading statistics.
Can you trust statistics?
Despite the objective and impartial appearance of statistics, it is a web of people and human processes that makes them trustworthy.
Can statistics be wrong?
That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.
Can statistics be misused explain?
Answer: Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. The false statistics trap can be quite damaging for the quest for knowledge.
Lies, damned lies and statistics (about TEDTalks)
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How can statistics be persuasive?
Because data represent facts, incorporating statistics in your persuasive speech can be an effective way of adding both context and credibility to your argument. Your audience is much more likely to believe you if you incorporate statistics. Statistics can be difficult to understand on their own, though.
How do you talk about statistics in a presentation?
- Compare how the statistic changes over time. …
- Bring your statistic to life by telling the story of one of the numbers. …
- Don’t rely on your audience understand how the statistic is relevant.
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