In each of the following instances, identify which type of error is potentially being made: type one or type two.
a. Your study concludes that ambulation post-op day 1 from hip replacement surgery is associated with shorter hospital stays.
b.  Your study examining the relationship between head trauma and grand mal seizures has an alpha of 0.10 and a beta of 0.80. Your statistical analysis reports a p-value of 0.06.
c. Your study finds no relationship between vitamin E consumption and skin cancer.
d. Your original intention was to enroll 500 subjects in your study, but only 256 completed both a preand posttest. You are concerned about what type of error?
e. Your study has an alpha of 0.05 and a beta of 0.90. You examine a sample of circus workers to determine whether they have higher levels of lung cancer. Your statistical analysis finds a p-value of 0.04.
f. The poorly designed pilot study examining the relationship between mold exposure and asthma reports a small effect size. You recruit a large sample to attempt to enable your research team to detect this effect size successfully. Having a larger sample size increases the risk of making what type of error?