Question 4: What type of statistical test would be appropriate for the dietician to use? The dietitian should use a one-sample t-test since he wishes to compare Australians' average (mean) chocolate consumption to Europeans' known consumption (mean=5.0kg). What is the population we can draw conclusions about in this study? The data looks at both Europeans and Australians and compares their consumption of chocolates after easter The dietician predicted that, on average, the consumption of chocolate that Australians consume per capita differs to that consumed by Europeans. The dietician conducted the appropriate hypothesis test and obtained a p-value of 0.072. Based on this result the dietician concluded that there is no evidence to suggest that the amount of chocolate Australians consume is the same as the amount of chocolate that Europeans consume. Is this conclusion valid or not? - Firstly, Null's hypothesis is that chocolate consumption is the same between Australians and Europeans after easter, thus the opposing hypothesis is that consumption differs between Australians and Europeans post easter. - The P-value is 0.072 and the level of significance is 0.05. - Given the P-value > Level of significance, we cannot reject Nulls hypothesis - Thus, It can be concluded that chocolate consumption is the same for both Australians and Europeans after easter and the conclusion is NOT valid. Comment on the validity of this conclusion. Provide justification for your answer. As stated in C, the p-value being greater than the level of significance justifies the conclusion that both Australians and Europeans consume the same amount, otherwise, it can be stated that there is a lack of evidence to support the claim that Europeans or Australians consume more chocolate after easter than the other.