(Look at photo)

15. What is the statistical power of STUDY A? (Bonus: How many additional subjects would be required to reach a minimum power of 0.80 for this study?)

16. What is the statistical power of STUDY B? (Bonus: How many additional subjects would be required to reach a minimum power of 0.80 for this study?)

17. Based of this comparison of STUDY A and STUDY B, which type of experimental design would you prefer for testing the memory effects of IGF2?

What is the relationship between the Type 1 Error Rate (α) and statistical power?

Consider the following study that is being planned:

·      μ = 95, σ = 4, predicted mean = 98, N = 30, α = .01, two-tailed test

a. Compute the effect size

b. Compute the power

c. If you wanted to plan a study with the conventional minimum power, what is the best variable to change in order to increase power?

StopSmoking is a product designed to help people quit smoking and no other products have to be more effective. StopSmoking provides significant advantages compared to all other products. For instance, StopSmoking is simpler to use. The product is also significantly less expensive than the other leading brands. The effectiveness of StopSmoking product has been tested in two independent experiments as shown in Table 1.

a) How do you interpret the results and information given above from the statistical context?

b) You would like to conduct another experiment on your latest product in comparison to the StopSmoking product. How would you determine the significant level of your statistical analysis? Describe on how would your decision affect the type I error and type II error.