This paper concentrates on the primary theme of what “significance” is in a general sense and in your chosen article in which you have to explain and evaluate its intricate aspects in detail. In addition to this, this paper has been reviewed and purchased by most of the students hence; it has been rated 4.8 points on the scale of 5 points. Besides, the price of this paper starts from £ 40. For more details and full access to the paper, please refer to the site.

Common Levels of Research

INSTRUCTIONS:

Before writing your comments each week, review the BSHS Discussion Grading Rubric linked under Assessments. It will show you what is expected for an excellent discussion, in order to earn full credit.

Weekly participation in the discussion is required. Every week, your comments will be graded on how well they meet each of the criteria on the grading rubric.

This module focuses on inferential statistics. As a reminder, inferential statistics are used to determine the probability that a conclusion based on analysis of data from a sample is true (Norman & Streiner, 2008). The purpose of this discussion is to show the various types of hypotheses, how to identify them in an article and the importance of “significance” and a p-value.

For this discussion:

1.

Using a peer-reviewed article of your choice, focused on a health study…

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Identify the Ho and H1

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Identify and explain what “significance” is in a general sense and in your chosen article. Be sure to discuss the p-value.

Required Reading

Michelson, S. & Schofield, T. (2002). Chapter 2: Inference (pages 45-53). In: The Biostatistics Cookbook: The Most User-Friendly Guide for the Bio/Medical Scientist. Kluwer Academic Publishers. Available in Ebrary, accessed via Trident’s online library.

Additional Reading (Optional)

Davis, R. and Mukamal, K. (2006). Statistical Primer for Cardiovascular Research: Hypothesis testing. Retrieved from http://circ.ahajournals.org/content/114/10/1078.full

McDonald, JH (2009). Basic concepts of hypothesis testing. Retrieved from http://udel.edu/~mcdonald/stathyptesting.html

Johnson, L. (2008). Principles of Hypothesis Testing for Public Health. National Center for Complementary and Alternative Medicine. Retrieved from www.nihtraining.com/cc/ippcr/current/downloads/HypoTest.pdf

CONTENT:

Common levels of research Student name Institutional affiliation Common levels of research (Statistical hypotheses) Hypothesis is a prediction concerning two or more variables which are related. CITATION Dav06 l 1033 (Davis & Mukamal, 2006) It is usually identified through highlighting

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what “significance” is in a general sense and in your chosen article

Common Levels of Research

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