For this assignment, you will participate in a discussion about exactly what nonparametric statistics are and why they are important. You have seen many tests and analyses involving nonparametric statistics. In this assignment, it will be up to you to determine why these tests and analyses are necessary, and in what situations they are appropriate.
The number of offspring that female blue whales have follows a skewed right distribution. Fifty years ago, researchers tagged ten female blue whales from birth and counted how many offspring each had over her lifetime. Now researchers want to get similar data to determine if the average number of offspring may be decreasing due to global warming or other environmental changes.
- Do the following on the Discussion Board for this example:
- In your own words, define nonparametric statistics.
- For this example, discuss why an approach using nonparametric statistics would be appropriate.
- For this example, what specific test might you use to test whether the average number of offspring has changed over the years? Why would you use this specific type of test?
- Describe a brief scenario where you may need to use nonparametric statistics in your daily life.
- Be sure to read and respond to at least two other posts about other possible methods that could be used. When you respond to the posts, add clarification, ask questions, or add constructively to the discussion.
Original discussion forum posts:
- Create a thread for your original post identified with your name.
- Prepare a quality, substantive post that addresses the objectives of the discussion forum and the expectations set forth in the grading rubric
- Include supportive evidence; such as direct applicable experience and expert sources.
- Due no later than Wednesday, 11:59 pm, CT
Assignment 6.1: Example of a Two-Way Analysis of Variance (Deliverable: Word document)
At this point you should have already used the one-way analysis of variance. This assignment will cover a two-way analysis of variance test.
- Suppose you want to test out two different trailers for an upcoming movie. So you take a sample of men and women and randomly separate them out into four groups. Some of the men will watch Trailer A and give it a rating. Some of the women will watch Trailer A and give it a rating. Some of the men will watch Trailer B and give it a rating. Some of the women will watch Trailer B and give it a rating.
- Once you have the ratings for these four groups, you can run what is called a two-way analysis of variance. It is called a two-way analysis of variance because you are able to see if you are getting significantly different ratings based on not one but two variables, the type of trailer (A or B) and gender. Because you are using two variables, you can see if you get significantly different average ratings for the movie trailer.