summarize and explain each of these steps, Step #9 (Interpreting the results): Now that you have computed your results, you can decide whether the sample of men's housekeeping scores represents the population of women's scores. Based on the data, are there gendered differences between housekeeping scores/abilities? Why or why not? Explain your answer in a couple of sentences. Step #10: In your interpretations indicate whether there is enough statistical power in the data. What is power and what determines if there's enough power in your study (hint: assess your "n")? How can we increase power in a study? Explain your answer thoroughly.

Step 9 Based on the results of the on Samplet test we rejected the nullhypothesis. It indicated that the Sample of man's housekeeping woitther ( 6s.52) is Significantly different from thehot women of IS. we accept Ha because the data suggests there is ! Da significant in housekeeping side families. because mon secded lower xilbolt women M= 75 This man's score doesnot represent the population Do womens score . Stepto Statistical power is the probability of correctly rejecting a False null hypothesis . The Sample Size W = q being small gives the study low Statistical Power. Making it more difficult to find a tive effect, even if there is one , increasing the chance of a typelletier. The sample size , Strengthin the population relation ship, alpha level), and variability determine if there's enagh power. To increase the power of the study the Sample size" can be increased,lowering the data variability Considering a one tailed test if there is a Strong prior theoretical Justification For a directional hypothesis