Using the following parameters, complete a G* power analysis: Alpha= .05 Power= .80 Expected Effect Size = In Week 2 Discussion 2, we practiced using the "Which Stats Test" Sage Tool. Refer to the statistical test determined using that tool and select the large effect size for the appropriate test. (Note: if you aren't sure which test to use, you can use the t-test family, correlation). You will not lose points for choosing the incorrect test. The point here is to determine a test, input the parameters into G*power, and explain the results. Figure 1 - Effect Size Benchmarks Statistic Small Medium Large Means - Cohen's d 0.2 0.5 0.8 ANOVA - f 0.1 0.25 0.4 ANOVA - eta squared 0.01 0.06 0.14 Regression f-test 0.02 0.15 0.35 Correlation - r or point serial 0.1 0.3 0.5 Correlation - r squared 0.01 0.06 0.14 Association - 2 x 2 table - OR 1.5 3.5 9 Association - Chi-square - w or Phi 0.1 0.3 0.5 Source: Hunt. (n.d.). A researcher's guide to power analysis. Utah State University. Retrieved from https://research.usu.edu/irb/wp-content/uploads/sites/12/2015/08/A_Researchers_Guide_to_Power_Analysis_USU.pdf G* Power Analysis Variables: (Identify the variables used.) [Enter your response here.] Test Family and Statistical Test: (Identify the test family and statistical test used.) G*Power Output: Output Parameters: (Explain each of the output parameters.)