Statistics

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

Data and statistics is able to be collected through a number of different ways to gather information, the majority of people have taken part

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

Although some statistical evidence given is not backed with proper citations, the reader can find that the evidence given is effective in proving her point.

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

Statistics, facts, data, and comparisons are absorbing and challenging to present in a way that is anything other than, well, boring. For purposes of an informational presentation, the statistics are unavoidable. However, in this

Statistics refers to the use of numerical information in everyday life to calculate facts and figures in limitless circumstances. In addition, statistics refers to the scientific collecting, classifying, summarizing, organizing, analyzing, and interpreting numerical data. This week the class’s objectives were to apply the steps in testing a research hypothesis, to compare the means of two or more groups, and to calculate the correlation between two variables. Learning Team D’s members have reflected on each of these issues and share their insights on these objectives.

the audience, and it is hard to put it to perspective. Therefore, a statistic is appealing to the

When we look around us, we may not recognize that statistics is all around. Before I began to take this course “Statistics for Managers” I was not aware of how statistics actually worked. The first idea that came to my mind about statistics was probability. Not knowing statistics and probability are related because they both determine a possible outcome. Throughout this course I have learned what statistics is and how it works. In this paper, I will describe descriptive and inferential statistics, hypothesis developing and testing, the selection of statistical tests, and how to evaluate statistical results in analyzing data.

The article does well provide details to support main point of the author argument. In fact, the usage of statistics and other people stories may reinforced the credibility of this article. Furthermore, because of the usage of clear language and key terms that were fine defined aids the readers in understanding the message of the text. The only downfall of the article is some of statistics is not well supported with evidence or a guidelines guiding us back the origins of these statistics, although the paper is not flawless, the overall strong point of it defeats it

The video begins with Peter Donnelly, a statistician bringing up a coin toss thought experiment. The audience was to guess how often the pattern of coin flip would land Head-Tail-Tail compared to the other pattern of Head-Tail-Head. The three options were: "A" the number of coin tosses for the pattern HTH will be greater compared to HTT. "B" both patters would take on average the same time to repeat themselves. "C" the number of coin tosses for the pattern HTT will be greater compared to HTT. I chose option "B" as my answer because every coin flip is a 50/50 chance of getting either head or tail so on average both patters should repeat them equally. I was surprised to find that most people also vote option "B", but in fact the odds favor option "A". On average, it will take relatively less tosses to get the pattern HTT than HTH, about 8:10 tosses. This is because the pattern HTT has a larger chance for success because a third of the pattern is always established while the pattern head tail head appears in clumps.

In his 2013 book, Naked Statistics, Charles Wheelan explains a field that is commonly seen, commonly applied, and commonly misinterpreted: statistics. Though statistical data is ubiquitous in daily life, valid statistical conclusions are not. Wheelan reveals that when data analysis is flawed or incomplete, faulty conclusions abound. Wheelan’s work uncovers statistics’ unscrupulous potential, but also makes a key distinction between deliberate misuse and careless misreading. However, his analysis is less successful in distinguishing common sense from poor judgement, a gap that enables the very statistical issues he describes to perpetuate themselves.

Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities. Statistics are also used for making informed decisions – and misused for other reasons – in all areas of business and government. Statistical methods can be used to summarize or describe a collection of data; this is called descriptive statistics. In addition, patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and then used to draw inferences about the process or population being studied; this is called inferential statistics. Both

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.

He explains that we should love statistics, because of how it connects human beings. Statistics are not about a certain individual, but about a group of people. When you learn about statistics in school, it is seen as a mathematical perspective; simply numbers. It even covers the R2, reasoning and mathematics, requirement here at Umass. Alan Smith’s view of statistics shows that it can connect everyone. His view is entirely different from the academic view of statistics that I have had for my entire life. While it involves, math and numbers, it also shows how people are connected with one