Week 14 Discussion Instructions Here we discuss non-parametric analyses and statistics in your daily life or work. This will be a detailed discussion worth 10 points so plan accordingly. Please use...

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Week 14 Discussion Instructions Here we discuss non-parametric analyses and statistics in your daily life or work. This will be a detailed discussion worth 10 points so plan accordingly.  Please use the following Instructions to write your reply.  1. Which of the non-parametric tests in our chapter is most interesting to you and why?  How would you describe the test, its uses, and its interpretation to others? 2. Now that you've been wrestling with statistics, calculations, reading journal articles, and writing up results in a variety of formats, what statistics might you use at work or in personal life?  Please list and explain at least two.  Next, are there any questions you would like to know how to analyze?   3. How would you describe your ability to use statistical thinking, developed in this class, to analyze claims in the media or any other forum? ** The main post should be at least 500 words.  Please reply to at least 2 classmates and each reply should be 200 words or more.  Post sooner rather than later to give people a chance to see you
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Answered 2 days AfterMay 12, 2021

Answer To: Week 14 Discussion Instructions Here we discuss non-parametric analyses and statistics in your daily...

Suraj answered on May 14 2021
149 Votes
Non-Parametric tests and Statistics used in our daily life
Introduction: The non-parametric tests are not applied everywhere. There is a small difference between the parametric and non-parametric tests. The situation where we do not know the distribution of the variable in advance and also it is not normally distributed. In those situations, we apply non-parametric tests. Where we consider that the unknown distribution is continuous distribution.
1.)
Since, there are many non-parametric tests available as the alternative of the parametric tests.
For goodness of fit chi-square test, Kolmogorov Simonov test are best. Also, sign test, Wilcoxon signed rank test are alternative of one-sample t-test. Thus, for each parametric test there is alternative test available in non-parametric situation.
The most interesting non-parametric test to use is the chi-square test. The reason for choosing this because of its simplicity and easy to understand and applied easily on the problems.
The test-statistic for the test is given as follows:
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