During week 1 (ch.8) of the text, we read about the “power” of a test. Remember that the power of a test can be summarized as the probability of rejecting a false null hypothesis. In other words, the power of a test is how likely we are to “get it right.” This provides the foundation for a potentially interesting discussion. By now, each of you has identified the assumption differences between parametric and nonparametric tests, but we have yet to discuss the differences in terms of power. Let’s use this thread to do so.
Let’s assume that you wish to test a hypothesis and are able to use a t-test (parametric test) for the analysis. Could you also use a nonparametric test for this? Why or why not? Assuming an identical level of significance for each test, which would be more powerful and why?

Calculate your order
Pages (275 words)
Standard price: $0.00
Client Reviews
Our Guarantees
100% Confidentiality
Information about customers is confidential and never disclosed to third parties.
Original Writing
We complete all papers from scratch. You can get a plagiarism report.
Timely Delivery
No missed deadlines – 97% of assignments are completed in time.
Money Back
If you're confident that a writer didn't follow your order details, ask for a refund.

Calculate the price of your order

You will get a personal manager and a discount.
We'll send you the first draft for approval by at
Total price:
Power up Your Academic Success with the
Team of Professionals. We’ve Got Your Back.
Power up Your Study Success with Experts We’ve Got Your Back.
WeCreativez WhatsApp Support
Our customer support team is here to answer your questions. Ask us anything!
👋 Hi, how can I help?