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Your Section of 30203: FNTZO _--.._ 1. Test Set-Up Gonif lntemational sells vacation time shares using internet banner ads. They want to test the average daily sales rates for three different banner ads targeted to the same consumer group. The rst question they need to answer: How large a total sample do they need? This means, how many days should they run the test. Each of the three designs will make up one third of the observations, so the total number of days required is one- third the total sample size. Management's goal is to achieve statistical power of at least 80%. Based on their experience, they estimate that Cohen's f effect size will be about ._ ', which is a small effect Use this estimate of Cohen's f effect size to calculate a priori statistical power. Use the following thresholds for interpreting effect size: Effect Size Iljhresholds Eta-S uared Cohen's f How many days of sales data must be collected (divide the total sample size by 3]. Use G'Power to calculate a priorf statistical power. Test family: F tests. Statistical test: ANOVA: Fixed effects, omnibus, one-way.'... ' a ' \" .. _. .. .._p.1...Usea0.05significanceleveLTheminimallevelofpoweris 0.80..'_-.__..'- ' , If you are using a Chromebook or table, use the Statistics Kingdom sample size calculator found at https: l [[wmvstatskingdomxomsamplc size regressionlitml. Set power to 0.80, predictor to 3. Effect type to f. and Effect Size to .25. Note: Setting Effect to Medium or Small will not make a difference. _ The research question: Are sales generated for the three banner ads unequal? And, if they are, which of the pairs are unequal? Here are the daily sales data. Remember: The column labelled 'Day' is not one of the three treatments