Section B: Data Analysis (Total: 30 marks) (a) State the linear model for the experimental design and explain each component of the model. (2 marks) (b) Perform a hypothesis test, including the block effects at significance level, α=0.05 for part (a). (7 marks) (c) Perform an appropriate statistical test to check on the pairwise treatment effects, at significance level, α=0.05. (2 marks) (d) Construct a 95% confidence interval for each of the treatment. (2 marks) (e) Suggest and explain a possible contrast to be tested for your experimental design. (2 marks) (f) Verify your suggestion in part (e). (3 marks) (g) By valid arguments, restructure your experimental design by reducing number of treatments or number of blocking factors. Describe how you could modify your existing experimental design. (2 marks)
(h) State the linear model and explain each component of the experimental design model in part(g) (2 marks) (i) Perform a hypothesis test, at significance level of 0.05 based on the restructured design in part (g) (3 marks) (j) Compare your findings from part (b) and part (i). (2 marks) (k) Based on your findings, discuss how the setting of experimental design could affect the data analysis performed. (2 marks) (1) State an area of improvement for the experimental design of your research topic. (1 mark)
Section B: Data Analysis (Total: 30 marks) (a) State the linear model for the experimental design and explain each compo
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Section B: Data Analysis (Total: 30 marks) (a) State the linear model for the experimental design and explain each compo
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