The Lady Tasting Tea: Summary of the book
The lady tasting tea takes the reader on a fascinating trip in the history of the statistical revolution. The contributions of many brilliant minds to the field of statistics as well as their personal lives and historical perspectives were described.
The story began in a sunny afternoon in Cambridge in the 1920s. A group of scientists was having a tea party when a lady claimed that there was a difference in taste between the cups where tea was poured into milk and the cups where milk was poured into tea. Sir Ronald Fisher who became a famous statistician suggested an experiment to test the lady’s hypothesis. The story then goes to the 1890s when the statistical revolution started. Karl Pearson was considered by many as the founder of mathematical statistics. Pearson discovered the skew distributions stating that they would cover any type of data scatter and he described these distributions by four numbers; mean, standard deviation, kurtosis and symmetry. Later a Polish mathematician, Jerzy Neyman showed that Pearson’s skew distributions can not be used to explain all possible distributions. Sir Francis Galton who discovered fingerprints was also interested in statistics and he founded a biometrical laboratory to measure height and weights in families to find a mathematical formula that predict the height of children from the heights of their parents. He described regression to the mean where heights of the children moved away from
The source of the earlier European colonist anxiety about their diet comes from their limited understanding of genetics, diets, and overall human health of the time. In Rebecca Earle’s work “The You Eat Their Food…”: Diets and Bodies in Early Colonial Spanish America, the historian presents the ideals of the early European Settlers, mainly Spanish, on how food effected the human body and form. The work elaborates on the Spanish logic for the aliments of both the settlers and the indigenous people of the land, linking it to food. Food in the New World played a prominent role in race and health – based upon Eurocentrism.
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
Obesity has become increasingly more prominent in American society. It is also a major health issue affecting many adults and children in the US every year. In his article "Don't Blame the Eater," David Zinczenko sympathizes with children who are suing McDonald’s making them fat. In his own experience as a “latchkey kid”, he knows how easily fast food makes teenagers put on weight with a steady diet of fast food meals. Zinczenko argues that both lack of fast food alternative companies and lack of providing nutrition information contribute to childhood obesity.
• Provide at least two examples or problem situations in which statistics was used or could be used.
Industry is about efficiency; ideally, turning the most profit from the least expense. Therefore, how can we trust an industry to make an ethical choice that will potentially hurt their business model? As exhumed by the articles “Escape The Western Diet” by Michael Pollan and “Don’t Blame The Eater” by David Zinczenko, the health care and food industries are not interested in suggesting we shift our diets towards a what they define as a “healthier”, more natural one, but rather they are set upon developing and distributing a variety of processed, nutritionally-overloaded supplements and cheap foods that conveniently further their return of profit.
3. According to the authors, what are the “three simple steps to doing Statistics right?” 4. What
Claire Battershill’s short story It Tastes Wonderful (ITW) like all her short stories in the collection Circus focus on a singular emotion. ITW is unique due to its form of storytelling limited third person omniscient narration which allows readers to learn the innermost thoughts of the main character Jay. Battershill utilizes this story telling technique as a smart way to create an emotional connection with the main character and for readers to emphasize with the protagonist. Subjectivity is vital to this type of storytelling as it allows readers to form impressions of the way things are without learning the full story. The underlying message Battershill attempts to convey under the greater umbrella of the theme of loneliness in the story ITW is that the emotion is subjective. The main character’s loneliness can be attributed to subjectivity. A lack of communication between Jay and Lisa further separates the couple causing him to feel isolated. Battershill tries to convey that this new type of loneliness has only recently become applicable to men. Traditionally, the emotions that Jay faces would not have existed from a male perspective as more power in the home was awarded to the male and women usually stayed at home. The fact that Lisa is a dedicated career woman makes Jay feel less valued in his relationship. Due to Jay not fulfilling a traditional male role in the home he is lead to feel dissatisfied
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
Select one (1) project from the working or educational environment of your choice and specify the variation nature of the project in question. Next, propose the overall manner in which you would apply statistical thinking strategy to improve the end result of the selected project. Provide a rationale to support your response.
The daughter of Japanese immigrants to the United States, Mitsuye Yamada was born in Japan during her mother’s return visit to her native country. In 1942, she and her family were incarcerated and then relocated to a camp in Idaho. The Executive Order 9066 signed by President Roosevelt in February 1942 was the reason Mitsuye and her family were incarcerated. The Japanese attack on Pearl Habor in December 1941, gave military authorities the right to remove any and all persons from “military areas.”
As I develop in mind, body, and spirit, I pledge on my honor that I have not given, received, witnessed, nor have knowledge of unauthorized aid on this or [assignment, quiz, paper, test].
Growing up in a family of doctors influenced me to pursue the knowledge of health and diseases. I long for devoting myself to public health. With data explosion, I realized that data-driven science is indispensable to meet the increasing demand in medical and biological improvement. Therefore, I want to apply tools of statistics to address human health problems and become an excellent biostatistician. My goal in entering in the M.S. program at Johns Hopkins University (JHU) is to develop expertise in Biostatistics. At JHU, I am able to obtain an interdisciplinary perspective, combining approaches and knowledge derived from statistics, computing and biology. In the future, I plan to pursue Ph.D. study and one day lead my own research group. To meet these objectives, I wish to carry on advanced study at JHU.
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.
So while I never want to take a statistics course, and while statistics scientifically involves so many numbers and mathematical principles, I am now interested in seeing how statistics is different from what everyone has said. It is wonderful to think that everyone can be connected through these