Another way to think of statistical significance is the risk associated with not being 100% positive that what occurred in an experiment is a result of what you did or what was tested. Therefore, it is the degree of risk you are willing to take to feel confident that there is a difference.
The null hypothesis states that there is no difference between the two things you seek to compare. You reject the null hypothesis when you have a statistically significant finding (.05 and .01), because there is only a 5% or 1% chance that you are wrong. In other words, you are 95% or 99% confident that your results are accurate. Nevertheless, as you can see, you still have taken a 5% or 1% risk that you are incorrect.
For this Assignment, you complete the Statistical Significance and Null Hypothesis Worksheet and write a short paper.
To prepare:
- Complete the Statistical Significance and Null Hypothesis Worksheet in the Learning Resources.
Submit the completed Statistical Significance and Null Hypothesis Worksheet and a 1- to 2-page paper in which you respond to the following:
- Describe the level of statistical significance.
- Describe a null hypothesis.
- Identify Type I and Type II errors, and explain which error you think is worse.
All papers you get at Proficientwriter.com are meant for research purposes only. The papers are not supposed to be submitted for academic credit.
