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# Descriptive Statistics & Research Bias

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Hi, I hope you will be able to help me to understand what I'm not comprehending. Thanks much.

What are some examples of descriptive statistics? Why are they used in research?

How can you avoid bias when selecting samples for human services research?

Text books I am using---

Rosnow, R. L., & Rosenthal, R. (2008). Beginning behavioral research: A conceptual primer (6th ed.). Upper Saddle River, NJ: Pearson/Prentice Hall.

Creswell, J. W. (2008). Educational research: Planning, conduction, and evaluating quantitative and qualitative research (3rd ed.). Upper Saddle River, NJ: Pearson/Merrill Prentice Hall.

https://brainmass.com/statistics/descriptive-statistics/descriptive-statistics-research-bias-321105

#### Solution Preview

Dear Student,
Hello. The questions you posted here are very similar to solutions I have previously written for you before, especially question number 1 (see Posting ID: 312226), actually I think it is the very same question therefore I can only give very similar answers in reference to descriptive statistics. I suggest you review the posting I am referring to as it will explain it all in more detail.

Sincerely,
OTA 105878/Xenia Jones
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Descriptive Statistics

Descriptive statistics are important in quantitative research because they provide a numerical analysis and description of a population that otherwise would be very challenging to 'quantify' in terms that are manageable due to the magnitude of numbers involved (i.e. the Chinese population, the American population, etc.). This is not to say that it is only used to quantify society and human populations - descriptive statistics is applied to 'quantify and describe' the natural world - the environment around us, flora, fauna and elements related to the universe (i.e. the age of stars, the distance of galaxies, ...

#### Solution Summary

The solution tackles 2 important concepts in Research. First it defines and provides examples of Descriptive statistics to explain it's importance in research and then it discusses ways of avoiding bias in Human services research. The solution comes in an essay of 579-words. References are listed for expansion/further research. A word version of the solution is attached.

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