How to Lie with Statistics” by Darrell Huff was a great book to read for a student like myself that is entering a course in statistics. It gave me the insight that I needed to know what statistics is all about and even the ‘tricks’ about using statistics that I can use when I get older and maybe have an important business job for example were I must present for the company and this book proves to be my savior. Though anyway it’s still very influential. This book wasn’t very hard to get through and it gave me a new outlook on statistics that I definitely didn’t have prior to my reading it.

Before I may have had my own interpretation of statistics, but Huff has shaped my understanding into something much better than it was before. Something that the book was big on was common error in statistics that a lot of people come a crossed. And something that I learned is that these errors are not always unintentional. Sometimes, in fact, they can actually be intentionally done. Huff shows us how some of the simple ideas such as averages are

manipulated to be more appealing to the viewer. Even how the mode can be the most frequently observed outcome even though it is rarely reported with numeric data.

One of the biggest ideas shown in the book to my opinion was how he explained the power of the graph. Eye-catching graphs can really make someone see what you want them to see and perhaps hide the bad. One thing is the choice of ranges on graphs can have huge impact on interpretation. Depending on what you set your range to the graph could prove to show completely opposite ideas. By truncating the bottom of a line or bar chart, so that differences seem larger than they are, can be the difference on a project depending on what you are trying to illustrate on the graph. The next big thing is that the choice of proportion of y-axis to x-axis can distort your perspective as well and it is very easy to do with modern software in today’s world. That one change with...

...Statistics 1
Business Statistics
LaSaundra H. – Lancaster
BUS 308 Statistics for Managers
Instructor Nicole Rodieck
3/2/2014
Statistics 2
When we hear about business statistics, when think about the decisions that a manager makes to help make his/her business successful. But do we really know what it takes to run a business on a statistical level? While some may think that business...

...How to Lie with StatisticsSummary
There are some people that rely heavily on the statistical information provided by the media, government, and other research groups in order to form opinions or come to a conclusion on a particular idea or product. However they fail to realize that a lot of the time the data is manipulated in such a way that leads them to believe something that is not actually the case. Statistics can...

...Catherine Davison
October 22, 2013
Summary #4
Chapter 8 – Post Hoc Rides Again
The Post – hoc analysis which is the cause and effect problem.
Methods of presenting cause and effect: 1) present a result without a significance value 2) use untestable assumptions 3) use precision and accuracy interchangeably 4) perform nonsensical test that sound good.
Keep in mind that a statistic is only worthwhile when it satisfies the assumptions on the test. Knowing...

...A Synopsis of How to Lie with Statistics by Darrell Huff
When most people hear or read a statistic, they quickly have to decide if the numbers listed are valid or invalid. It is usually assumed that the author of the statistic is knowledgeable in the field to which the statistic pertains. However, on many occasions, the statistic is false, due to the author’s wording. Darrell Huff’s novel...

...How to Lie with Statistics Book Summary
The book How to Lie with Statistics written by Darrell Huff shows you howstatistics are used to mislead; sometimes unintentionally, other times on purpose. It gives the readers the knowledge necessary to intelligently question and understand the story behind the numbers. In other words, it shows the tricks the crooks use, so...

...Executive Summary Business Statistics
In this assignment I compiled the data of the Nissan GT-R 3.8 (R35). The Data collected includes the age, type and price which allowed me to make a statistic about how the age affects the price of this certain model over several years. I will be using the correlation regression and scatter diagram to get the regression line. As we can see, the price drops the elder the car is. Inside the range of...

...techniques are discussed. These techniques
include decision analysis, project scheduling and network models.
Chapter 1 illustrates a number of ways to summarise the information in data sets, also known as
descriptive statistics. It includes graphical and tabular summaries, as well as summary measures
such as means, medians and standard deviations.
Uncertainty is a key aspect of most business problems. To deal with uncertainty, we need a basic...

...TABLE 1: Data Summaries of Three Routes
Route 1
Route 2
Route 3
Normal(88.532,5.07943)
Normal(97.1033,5.04488)
Normal(107.15,5.15367)
SummaryStatistics
Mean
88.532
Std Dev
5.0794269
Std Err Mean
0.2271589
Upper 95% Mean
88.978306
Lower 95% Mean
88.085694
N
500
Sum
44266
SummaryStatistics
Mean
97.103333
Std Dev
5.0448811
Std Err Mean
0.2912663
Upper 95% Mean
97.676525...

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