A student working on her doctorate degree is completing a study on working conditions. Part of her data collection consists of interviewing employees at a local hospital.  She is given a list of names for the employees of one of the departments from which to select her sample group for that department. Given this scenario of interviewing employees, would you use sampling with replacement or sampling without replacement and why? Discussion question: In this scenario, why wouldn’t the researcher just pick 10 employees that she knew would be easy to work with on this project? Explain why is randomization important. Elaborate on the importance of how researchers pick samples to use in a study. Why is it that a method used in one study may not be appropriate for use in another study? Provide a specific example of a method that works in one situation but would not be effective in another situation.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 6E
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A student working on her doctorate degree is completing a study on working conditions. Part of her data collection consists of interviewing employees at a local hospital.  She is given a list of names for the employees of one of the departments from which to select her sample group for that department.

  1. Given this scenario of interviewing employees, would you use sampling with replacement or sampling without replacement and why?
  2. Discussion question: In this scenario, why wouldn’t the researcher just pick 10 employees that she knew would be easy to work with on this project? Explain why is randomization important. Elaborate on the importance of how researchers pick samples to use in a study. Why is it that a method used in one study may not be appropriate for use in another study? Provide a specific example of a method that works in one situation but would not be effective in another situation.

 

 

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