An industrial-organizational psychologist hypothesizes that assembly line workers would display a higher level of job satisfaction if they were given a new kind of incentive program. He consults the literature on the effect of incentive programs on job satisfaction and predicts that his new program will have a positive, medium effect size (increase of 3.5 points). Assessment of job satisfaction of assembly workers at this company over many years has resulted in a distribution that is approximately normal, with = 82 and a = 7 on a standard job satisfaction scale. The psychologist plans to provide the new incentive program to 25 randomly selected assembly workers. If the null hypothesis is tested at a p-level of 0.05 (one-tailed), the power of this study to detect the predicted difference would be 80%. 5. If you were only able to sample 6 individuals (holding all other aspects constant), would power change from 80%? If so, describe HOW and WHY it would change. 6. Based on the original information provided (text before #5), what would be your expectation for power (increase or decrease?) if you lowered the alpha to 0.01? (state your answer AND explain your reasoning) 7. Based on the original information provided (text before #5), what would be your expectation for power (increase or decrease) if you: (state your answer AND explain your reasoning) increased the sample size to 50? 8. Based on the original information provided (text before #5), what would be your expectation for power (increase or decrease) if you ran a 2-tailed test? (state your answer AND explain your reasoning) 9. Based on the original information provided (text before # 5), what would be your expectation for power (increase or decrease) if you expected a sample mean of 100? (state your answer AND explain your reasoning) 10. Based on the current example, what would be the best most practical method for maximizing power (beyond 80%) and WHY?