Explain what it means to make a 'Bonferroni adjustment'? Provide the reasons for and against the use of Bonferroni adjustments in multiple pairwise comparisons.

In statistics, what is meant by type 1 and type 2 errors? Discuss the consequences of committing type 1 and type 2 errors and how researchers can minimise the likelihood of committing these errors. Use examples to help explain your answer.

Outline the assumptions of Analysis of Variance (ANOVA) and the approaches routinely taken to test the validity of each assumption.

Standard deviation, standard error of the mean, and 95% confidence internal are commonly used when presenting the "error" surrounding datum points in figures in scientific publications. Explain how each measure of "error" is calculated, what they represent and therefore how the reader can interpret each one.

Provide a 'skeleton' ANOVA showing sources of variation and degrees of freedom for an experiment consisting of a five (5) by four (4) factorial experiment undertaken in a: (i) Completely Randomised Design (CRD) with five (5) replicates. (ii) Randomised Complete Block Design (RCBD) with four (4) blocks