Inferential statistics: show the various types of hypotheses, how to identify them in an article and the importance of “significance” and a p-value.

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…

  • Identify the Ho and H1

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

 
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