Explain the reasoning inherit in a confidence level|Essay helper

Posted: January 24th, 2023

Initial Postings: Read and reflect on the assigned readings for the week. Then post what you thought was the most important concept(s), method(s), term(s), and/or any other thing that you felt was worthy of your understanding in each assigned textbook chapter.

Your initial post should be based upon the assigned reading for the week, so the textbook should be a source listed in your reference section and cited within the body of the text. Other sources are not required but feel free to use them if they aid in your discussion.

Also, provide a graduate-level response to each of the following questions:

1. Please discuss the p-value and what it is used for. Also, explain where the p-value resides on the bell curve.

[Your post must be substantive and demonstrate insight gained from the course material. Postings must be in the student’s own words – do not provide quotes!]

[Your initial post should be at least 200+ words and in APA format (including Times New Roman with font size 12 and double spaced).

SOLUTION

A confidence level is a measure of the degree of certainty that a statistic or estimate is accurate. It is often expressed as a percentage, such as 95% or 99%. The reasoning behind a confidence level is that, if a sample were taken multiple times, and the same estimate were calculated each time, the actual population parameter would fall within the calculated confidence interval a certain percentage of the time. For example, if a 95% confidence level is used, it means that if the sampling were repeated over and over again, 95% of the intervals calculated would contain the true population parameter.