Naked Statistics By Charles Wheelan

He author also uses statistics to inform the readers with facts. For example he says, “If you’re like the typical owner, you’ll be pulling your phone out 80 times a day.” He uses statistics to inform and persuade the the

Statistics provides us with very useful tools and techniques that aide us in dealing with real world scenarios. I have been able to learn several useful concepts by studying statistics that can aide me in making rational and informed decisions that are supported by the analysis results. Statistics as a discipline is the application and development of various processes put in place to gather, interpret, and analyse the information. The quantification of biological, social, and scientific phenomenons, design and analysis of experiments and surveys, and application of

In the video "How Statistics Fool Juries," Oxford mathematician Peter Donnelly attempts to demonstrate through a number of examples how statistics, when viewed in a common manner, can be misunderstood and how this can have legal repercussions. Through a number of thought experiments, Donnelly provides the audience with examples of how seemingly simple statistics can be misinterpreted and how many more variables must be taken into account when calculating chance. Primarily he exposes the audience to the concept of relative difference, or the difference in likelihood between two possibilities in the same scenario. He then goes on to explain that without an understanding of this concept, many juries misunderstand statistics used in trials and very often convict people based on this faulty understanding.

• Provide at least two examples or problem situations in which statistics was used or could be used.

In the essay “Richer and Poorer Accounting for inequality,” by Jill Lepore, published in The New Yorker, March 16, 2015, it elaborates how economic inequality is growing at a fast rate and has been for a long period of time. Jill Lepore also writes that “is greater in the United States that in any other democracy in the developed world” (1). Many Americans know about this issue but have done nothing with the information that is presented, regardless of the disadvantages it causes U.S. citizens. It has been talked about by many politicians, researched by many institutions but has also been done to no ends meet. Jill Lepore effectively uses rhetorical

3. According to the authors, what are the “three simple steps to doing Statistics right?” 4. What

Reading Chapter 14 of Statistics for People Who (Think They) Hate Statistics (Salkind, 2014), it would be easy to overlook R. A. Fisher and his contributions to modern scientific experiment design and data analysis. With the exception of a parenthetical reference as the creator of the ANOVA test statistic, no further information about Fisher or his influence on statistical theory and practice is provided. Additional reading reveals Fisher to be one of the most significant statisticians of the 20th century.

Mona Chalabi spoke at a ted talk convention about three ways to spot a bad stat to an audience of young adults in February 2017. She spoke about the bad nature of Statistics. Through a convincing Ted Talk “Three ways to spot a bad stat” Mona Chalabi informs the public about the dishonesty of modern day stats.

While globalization profits the manufacturing industry at large by providing cheaper labor, many—including Trump—argue that it takes jobs away from Americans. In Trump’s “7 Point Plan to Rebuild the American Economy by Fighting for Free Trade,” he stated that he would withdraw from the Trans-Pacific Partnership (TPP)—which he has now done—because it would “undermine our independence” (Trump). I rationalized that Trump’s stance of the TPP—and globalization in general—could lead individuals working in manufacturing to prefer Trump over Clinton, whose position on the TPP fluctuated throughout the campaign. However, this causal logic for explaining vote distribution depends on the assumption that for individuals in the manufacturing industry, Trump’s position on this topic was their primary concern.

When studying statistics, it is important to look all aspect of it, such as the statistical ethical guidelines. Another important to look at is how Christian World view can be applied to statistics. In this essay, the following will be discussed: statistical ethical guidelines, ethical issues from a Christian World view, and ethical issues.

In How to Lie with Statistics (Huff, 1954), Darrel Huff deciphers statistical examples and explains the means of deception that statistics and statisticians sometimes use to relay false information. Huff also conveys an underlying message of don’t believe everything you’re told, something him and my mother have in common. At first glance, a reader might think that this book will teach people how to actually lie using statistics, but that is not the case. It gives the reader a glimpse or a behind the curtain view of how easily it is to be deceived using numbers and how it is slyly achieved. Ironically he calls the book How to Lie with Statistics almost to tease his audience that the content in this book is not as it appears. To my utmost surprise, I actually rather enjoyed this book. It was a fairly simple read that was filled with new information and showed me how to look closer at statistical figures in the future. The humor was spot on so much, so that I even chuckled aloud occasionally. For the icing on the cake, I even expanded my vocabulary to learn fun words such as rotogravure.

When viewing this video about bad statistics there are three bad forms of bad statistics that the video represented. The first form of bad statistics is poorly collected data this creates misleading results “The company used knowledge prior to only calling customers at work in regards to the parenting magazines and house magazines”(Dressler, 2010) this excluded certain population. This study excluded stay home moms because different answer would be concluded for the data set. The second form of bad statistics is posing questions or misleading questions “cellular may cause cancer”(Dressler, 2010) misleading question gives an uncertain response and the

is actually from a national survey. Although the strength of it is not all that

How much do we really know about our country, our district, or even our hometown? Are statistics really what people think? According to Alan Smith, an inaugural recipient of the Royal Statistical Society's Award for Excellence in Official Statistics, what people think is always extremely different than what the real statistic truly is. In his Ted Talk, entitled “Why We Should Love Statistics”, he discusses his study of statistics which opened up a whole new vision of the subject for me. Before watching this Ted Talk, statistics was simply a more relatable math class. After watching, I see now that statistics is also a method to connect people within communities. In fact, while statistics is a field that involves entirely numbers, it should

The act of statistics has a few moral issues correlated with it that should be managed by statistical analysts. While it is generally disputed that religion does not assume a part in the act of statistics, a Christian perspective and Christian standards can pertain to the moral circumstances that emerge. Truth be told, this has been the center of a few conversations as well as insightful articles. The motive for this paper is to examine the moral rules that I find significant, how the insightful articles that speak on this issue have influenced my own choice making in regards to statistics and morals, how the moral issues brought up in statistics can be tended to utilizing a Christian perspective, and to figure out what direction and standards from a Christian point of view can be connected to the moral issues brought up in conjunction with statistics.