Study Information Participants N - 105 Age: Mean (A) = 22.09 years, Standard Deviation (SD) = 5.32 years Males: 35, Females: 66; Non-binary/Third Gender: 3; Prefer not to say: 1 Measures Keep Intentions (1 = Strongly Disagree; 7 - Strongly Agree): 1. It is very likely that I would keep the luggage 2. I could imagine keeping the luggage 3. It would be my intent to keep the luggage Descriptive Statistics: Mean (SD) Keep Intention Restrictive Policy 4.61 (1.41) (33) Lenient Return 3.58 (1.65) Policy (36) Lenient Policy + Reward (36) 4.11 (1.61) ANOVA Sum of F Sig Squares Df Mean Square 18.04 3.69 .028 Between Groups 2 9.02 Within Groups 249.3 102 2.44 Total 267.340 104Post-Hoc Tests - LSD Mean Difference Std. Error Sig 25% CI Restrictive Policy - Lenient Policy 1.02 38 .008 27, 1.77 Restrictive Policy - Lenient Policy Plus Reward 49 37 .19 -.25, 1.24 Lenient Policy - Lenient Policy Plus Reward -.53 36 . 16 -.20, 1.26 Reporting the Statistics The results reveal a significant main effect of return policy on keep intention (F(2, 102) = 3.69, p 05), and Hypothesis 1 is Regarding the control condition, the restrictive policy (M = , SD = produces a significantly higher keep intention than the conventional lenient policy (p .05).The aim of the experiment was to demonstrate and replicate the experiment reported in Gelbrich, Gathke, and Hubner (2017). In this study, the authors proposed and found that rewarding customers for keeping their online purchases would increase keep intentions. You are expected to use the following hypothesis in your report: Hypotheses . Hypothesis 1: Participants under the lenient policy plus reward condition would have higher keep intentions than those under a conventional lenient policy