Dr Nick

(3)

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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: 284 Weeks Ago, 1 Day 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 13.00

a random selection method can yield a poor sample

Hello i need a good and positive comment related with this argument .A paragraph  with no more  90 words.'

 Deactivated

Kimberly Cupps 

2 posts

Re:Topic 1 DQ 1

Graphics and/or statistics can be used to represent or misrepresent data by poor selection methods that affect the accuracy of the data because of an individuals biased opinion if they are getting a monetary “kick back” or sometimes it can be without the person realizing there is a problem.

An example would be poor data response or inaccurate information. An example would be in census data. This can occur when one segment of the population is over-represented in the selection either intentionally or unintentionally. Even a random selection method can yield a poor sample if the sample size is too small or the entire population was not known or identified to be possibly included in the sample whether intention or unintentionally.

Answers

Dr Nick
(3)
Status NEW Posted 13 Sep 2017 09:09 AM My Price 13.00

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