Statistics fromYour Interest Area
You are all interested in something. Explore the literature (magazines, books, web sites, etc) for your interest area and find an example of the use of graphical statistics. I suggest a Google search using the Images option, and select some interesting and visual display of data. Identify the related materials that support the graphics and containing some form of statistical analysis and/or display. Review your materials using the framework offered below.
• Attach copies of the material and highlight portions that support your analysis below.
• Attach screen shots or print outs of enough of the material to support your analysis.
• Add your answers to the blank areas below. Add more lines as necessary.(You may use and modify this page as necessary).
• Include a cover sheet
No credit for just the web material. You must show that you have taken it apart enough to answer the questions. Please don’t copy more than 2-3 pages of web material.
1. In a word or short phrase provide an identification (name) and brief explanation of the “random variable” (or variables) considered in your statistical example.
Random Variable(s) Considered:
Random variable is such a variable which can take certain values with a certain probability. For example, the random variable is the win\lose of a football team. In this case, the probability of these variables that can be received is the same: ½
2. For each of the random variables considered identify its type:
(Nominal, Ordinal, Interval, Ratio) (see appropriate references for definitions)
Nominal: Each object gets only one identification number. For example, it can be the number of the player on a sports team.
Ordinal: This type of scale determines the order or rank of the objects of observation. The distances between the objects, which follow each other (in ascending or descending order) are not equal. For example, the most favorite player gets 11 points, the least - 1 point.
Interval: Unlike ordinal scale, there is significant not only the order of the values but the value of the interval between them. An example of this type of scale: the temperature on the football field in the morning - 18 degrees in the evening - 24.
Ratio: In contrast to the interval scale can reflect how much a figure bigger than the other. The relative scale has a zero point, which is characterized by the absence of the measured quality. For example: “the price” of the player. Here, as a starting point, you can take the "zero" dollars.
3. How was the variable or variables analyzed?(see appropriate references for definitions)
(Descriptive-Quantitative or Graphical, Inferential, Explorative, Bootstrapping, Probability, etc.)
Analyzing of the Manchester United position in the in Premier League (EPL Statistics) is showed by using Descriptive-Quantitative and Graphical methods.
4. Was the variable (variables) considered individually or compared to others or each other? If yes explain.
Variables "Position in the in Premier League" were analyzed in comparison with indicators of different years.
5. What was the nature of any conclusions drawn from the analysis of the data? What did the writer intend the reader to learn or conclude from the data? Were you convinced???
This analysis of the data was created in order to show that Manchester United are not going to finish in Top 3 for the first time in Premier League. Also, the author tried to show the incompetence of the football coach of the club. This and the following statistics in the article were quite persuasive.
6. Other commentary:
Work Cited: EPL Statistics, Manchester United – First Time Out Of Top Three. 2016. Web. 6 Sept. 2016.
