Applying Statistical Power and Conclusion Validity
Discuss statistical power and how it can be increased. Include a personal example or an example you find in a reliable publication (see Notes).
Apply your understanding of the topics thoroughly. Your initial thread should be ≥400 to ≤550 words (see Notes). Ending your Thread with a question is an excellent way to promote active discussion.
Post your initial Thread and attach a Word document of your work (see Notes).
The Replies – Each reply (x2) must be 100 to 200 words (see Notes).
You are required to write substantive replies to a minimum of two of your classmate’s initial thread. In contrast to superficial replies, substantive replies add value to the discussion, enhance learning, and contain references to any new concepts or ideas presented.
The following suggestions will aid you in successfully composing substantive responses:
- Compare/contrast the findings of others with your research or experience.
- Compare how the findings of others enhance to the concepts learned in the required readings.
- Share additional knowledge regarding the topic that relates to the thread.
Assignment Notes:
Examples of reliable publications may include Forbes, The Wall Street Journal, Business Week, Barron’s, Retail Business News, etc. Online sources are acceptable if correctly cited, and a link is included. APA in-text citations and references are required. Wikipedia is not considered a reliable publication. You may not use the examples already provided in the study materials or your classmate’s threads.
Excellent grammar, spelling, and APA (7e) formatting are expected in graduate-level work.
Related: (Solved) BUS5413 Data Analysis and Quasi-Experimental Designs
Solution – Applying Statistical Power
Statistical power refers to the likelihood that a statistical test will detect an effect when one truly exists. In simpler terms, it is the probability that a study will avoid a Type II error (failing to reject a false null hypothesis). A study with high statistical power is more likely to correctly identify significant results when they exist, thus contributing to the reliability of the findings.
Several factors influence statistical power, including:Sample Size: Larger sample sizes increase statistical power because they reduce the standard error, making it easier to detect an effect. In a larger sample, there’s more… Please click on the Icon below to purchase the full answer at only $5
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