# SOCW 4002 WU Statistical Significance and Null Hypothesis Worksheet

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.

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 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.

Salkind, N. J., Frey, B. B. (2020c). Statistics for people who (think they) hate statistics (7th ed.). Sage.

• Part IV, “Significantly Different: Using Inferential Statistics” (p. 165)
• Chapter 9, “Significantly Significant: What It Means for You and Me” (pp. 166–184)