The Assumption Of Data Statistics

Due to financial hardship, the Nyke shoe company feels they only need to make one size of shoes, regardless of gender or height. They have collected data on gender, shoe size, and height and have asked you to tell them if they can change their business model to include only one size of shoes – regardless of height or gender of the wearer. In no more 5-10 pages (including figures), explain your recommendations, using statistical evidence to support your findings. The data found are below:

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

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

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

In order to maintain consistency throughout the study, each of the six subjects will utilise the same source for data collection. Due to the fact that sites vary in precision (number of decimal places), activity format and number of trials, this particular measure will assist in ensuring that the evidence used to address the claim is both accurate and reliable.

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

The LV team is eager to learn what statistical significance is and why it’s an important construct in the study and use of inferential statistics.

Read the “Numbers Can be Worth a Thousand Pictures: Individual Differences in Understanding Graphical and Numerical Representations of Health-Related Information” article prior to answering. Informed decision making in the mental health and medical professions requires the ability to understand and effectively communicate statistical information. For this discussion, address the following in your post:

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.

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.

2. True or False: Interential statistics involves making an accurate an outcome based on anincomplete set of data

So many people complain about all the math, how boring it is, and how everything about it is awful. This is mostly just seems like it is because they don’t understand. Even Alan Smith reportedly was awful at statistics and computer programming, but his quiz which, changed the perspective of over 250,000 people, managed to change his mind. This is fascinating to me. Although I have never taken statistics, I have a predetermined mindset that statistics is not worth taking. I have always been told to take calculus or linguistics or anything else but statistics, because every other class is easier and has a more defined purpose, especially for my major. No one has ever mentioned the impact that statistics can have on people, however. That is what made this Ted Talk so interesting.

I just finished reading really interesting book, How to lie with Statistics by Darrel Huff. This books is all about a good cheat sheet to cheat with numbers. The moment someone mentions Statistics, the most often seen reaction is a big yawn or a sigh of disbelief. This is because people come across all kinds of statistical interpretations all the time such as in advertisement or marketing journals. This sense of disbelief is because the reader can not verify the truthfulness behind presented numbers. The assumption always is that the person talking about the number or statistics knows what he or she is talking about because it is proven fact by statistical studies. Even if that is not the case, it is very easy to be lost among the number, when they are represented as an averages, percentages, year-on-year growth, or percentage points which can make the person talking about these seem either very good or very bad. And this does not seem to have changed from 1954, when the book was first published. The book is about helping readers see throughout these marketing tricks. Also, to be able to ask the right questions and when to dismiss a statistics as faulty. It is a field manual to beat the cheaters in their worn game. This is a delightful book with just 150 pages and 10 chapters each with a specific theme.

1 - Produce the relevant descriptive graph and table to summarise the MODE variable (labelled Control: Completes by phone/mail/web). The MODE variable summarises the different ways that each institution completed the survey. Write a paragraph explaining the key features of the data observed through the output.