Dr Nick

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$14/per page/Negotiable

About Dr Nick

Levels Tought:
Elementary,Middle School,High School,College,University,PHD

Expertise:
Art & Design,Computer Science See all
Art & Design,Computer Science,Engineering,Information Systems,Programming Hide all
Teaching Since: May 2017
Last Sign in: 244 Weeks Ago, 4 Days Ago
Questions Answered: 19234
Tutorials Posted: 19224

Education

  • MBA (IT), PHD
    Kaplan University
    Apr-2009 - Mar-2014

Experience

  • Professor
    University of Santo Tomas
    Aug-2006 - Present

Category > Numerical analysis Posted 13 Sep 2017 My Price 15.00

. A random selection without background knowledge or without specified

 I NEED A POSITIVE COMMENT BASED IN THIS ARGUMENT. BETWEEN 150-200 WORDS

Statistics, graphics, and database are used in medical field to prove, or disapprove theories, analysis, and interpretation of ailments, medication, and how it impacts one’s treatment and its effectiveness. However, this data can be easily misinterpreted when and where there is a vested interest. Individual opinions are generalized mainly without considering the whole aspects of an issue, and therefore forming a biased opinion. Data can be misguiding if the example of the case study is not done properly. A random selection without background knowledge or without specified criteria leads to misinterpretation of the data. Another cause of misinterpretation is difference in origin and association. For example, variables after another but one variable does not cause another. One of the manipulated areas in medical world is pharmacy. Pharmaceutical companies use misguided data in competitive markets. Generic medicines for same purposes are branded out and to advertise it misguiding database is used. The most important thing to be considered while interpreting or predicting an outcome of a statistical analysis is a well-balanced and well selected population. Samples is to be selected considering different aspects of the problem so that the result will not be biased. This demands the proper understanding of the statistical tools and how to select the sample population. However, the sample size should be sufficiently large enough to get into more definite conclusions to prove or disapprove such theories, and analysis of the information needed.                                                               Reference

Ercan, I. (2007). Misusage of statistics. Retrieved from http://www.bioline.org.br/pdf?gm07030

Answers

(3)
Status NEW Posted 13 Sep 2017 09:09 AM My Price 15.00

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