Question asks what errors were made in the statement by Dr bean about his results.

Dr Bean claims that students who drink coffee are more likely to score a High Distinction (HD) on their Research Methods exam than students who don't drink coffee. To evaluate this claim, Dr Bean recruits a sample of university students and classifies each student according to their coffee drinking behaviour (whether they drink coffee or not). For each student, Dr Bean also records their exam performance (whether they scored an HD or not). Dr Bean then runs a Chi- square analysis to test for an association between exam performance and coffee drinking behaviour. Statistical Output x Tests Value dif P 5.18 1 0.023 N 60 Nominal Value Phi-coefficient 0.29 Cramer's V 0.29 Based on the jamoxi output and the background information provided, Dr Bean reports the results of the analysis as follows: A Chi-square Goodness of Fit Test was conducted to test if exam performance was associated with coffee drinking behaviour. The analysis suggested that students who drink coffee are significantly more likely to score a HD on their exam than students who do not drink coffee, x'(df = 1, N= 60) =5.18, p=.023, 0 = .92