Misleading 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, 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

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

For instance, if the Sociologists conducts interviews they typically indent the responses further from the margin to differentiate from their own writing. They also dismiss the use of quotations when they write the responses of their research participants (Miller 1998). If they use already existing data as a method of research the best way they present their findings are through graphs which provides visualization for the reader to analyze (Papachristos et al: 2011). When a survey is conducted, the Sociologist produces a clear presentation of their findings in a table that the reader can reflect back to instead of reading the result section again (Carr et al 2007). This accessibility is important because those in the discourse community could go back and reflect on the evidence provided in charts, graphs, and table to compare and contrast the results and possibly find a missing gap in the research that their own research could fit (Smith

In the video Don't Be Fooled By Bad Statistics posted by Emily Dressler three forms of bad statistics are discussed, poorly collected data, leading questions, and misuse if center. Information collected poorly will lead to misleading results and false conclusions. Dressler uses the example of data collected by researchers pertaining to magazine preference during business hours. The data is skewed because of the time of day the information was gleaned rendered the sample not representative of the entire population. Another form of bad statistics has to do with how the desired information was elicited. Leading questions may result in biased responses. Questions need to be worded carefully so the information collected is not influenced by the interviewer. Finally, the video talks about misuse of center. Data can be misleading if not appropriately analyzed. Outliers, an individual value that falls outside the overall pattern of data can prejudice the conclusion leading to incorrect assumptions. An example might be that of the man who drowned in a pond with an average dept of one inch. The pond was one quarter inch deep everywhere but in the center where there was a ten foot hole.

Statistics is defined as “the science that deals with the collection, classification, analysis, and numerical facts or data” (Dictionary.com,2012). Sometimes it is important to analyze statistical data in order to understand how something works or doesn’t work. In the case of American public education, there is tons of statistical data being thrown around, but what do all of these numbers really mean? How does this data help us? Although statistics provide clarity for constant scrutiny to the public education school system, they also help us to understand what were doing wrong in the classroom. In comparison of two different states, Nevada and Wisconsin lay at two very

All the statistics and charts are meant to show the readers that there is a problem that is not being solved, but the readers need to understand what the problem is first before it can fix it. The easiest way to convey statistics is through graphs and charts, so, of course, an essay with a great deal of data would have many charts. The figures perfectly translate the numbers on a page to a visual that is better

I believe that in the verge of realization, in everyday life’s undertaking we are facing and practicing statistics. I was being into a serious dedication of understanding the underlined concepts of statistics and the necessary usefulness in conducting a survey. In fact, throughout the course, I did learn many factors that became useful in contacting a survey research. according to Walker et al. (2011). However, my success could not be possible without the appreciation and support of my teachers, discussion groups, and class presentations.in addition, the misguided notion of statistics being a tough course was proven otherwise since I realized that statistics make a lot of sense not only in survey research in personal life, especially in budgeting and planning for individual routines. Furthermore, the following paper provides a vivid explanation of my reflection of the survey class, with more attention paid to the concepts of statistics.

Statistics are used in many different ways in my workplace. The use of statistics is for the improvement of quality care and safety. Statistics are also used to measure employee compliance in regards to hand washing and proper use of policies and procedures. We also use charts and graphs to show infection rates, skin integrity, falls within the facility, budget concerns, and many more. These graphs help hospital personal improve care and safety to provide quality care to all patients. Graphs can also be used to measure patient and employee satisfaction.

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.

Surveys and Polls can be used as a way to obtain facts on a certain subject, but they may not all be as reliable as they

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.

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