Report title (cover page): give it an informative (and ideally interesting) title.
I. Introduction (15 marks)
Introduce your research idea! What relationship are you looking for? Why might it be expected to exist? Why does it matter (the motivation for the reader to continue)?
II. Data (25 marks)
Report title (cover page): give it an informative (and ideally interesting) title.
I. Introduction (15 marks)
Introduce your research idea! What relationship are you looking for? Why might it be expected to exist? Why does it matter (the motivation for the reader to continue)?
II. Data (25 marks)
Outline and describe your data. Where is it from? How well does it represent what you want to examine? How reliable is your sample? What are the key strengths and/or limitations of your data? Summarise your data for the reader–outline key characteristics/features and discuss relevant and informative summary statistics. N.B. You must use a dataset with at least 50 observations. Are graphs and/or tables used appropriately?
III. Analysis (35 marks)
Examine the evidence for your relationship in your data. Use techniques such as correlation, hypothesis tests, confidence intervals, regression, etc. (not an exhaustive list) to make inferences about the nature and strength of the relationship in your data. Be sure to explain why you are analysing the data in the way that you are. Are graphs and/or tables used to present results accurately and clearly?
IV. Results and conclusion (15 marks)
What does your analysis find/show? What does it mean (you must carefully interpret your results)?
V. Structure, clarity and referencing (10 marks)
Is the logical structure clear? Are sections/paragraphs linked? Are sources carefully referenced? It the writing clear, concise and precise? Is it able to be understood by a non-statistician? Is the intuition behind the statistical analysis outlined?Outline and describe your data. Where is it from? How well does it represent what you want to examine? How reliable is your sample? What are the key strengths and/or limitations of your data? Summarise your data for the reader–outline key characteristics/features and discuss relevant and informative summary statistics. N.B. You must use a dataset with at least 50 observations. Are graphs and/or tables used appropriately?
III. Analysis (35 marks)
Examine the evidence for your relationship in your data. Use techniques such as correlation, hypothesis tests, confidence intervals, regression, etc. (not an exhaustive list) to make inferences about the nature and strength of the relationship in your data. Be sure to explain why you are analysing the data in the way that you are. Are graphs and/or tables used to present results accurately and clearly?
IV. Results and conclusion (15 marks)
What does your analysis find/show? What does it mean (you must carefully interpret your results)?
V. Structure, clarity and referencing (10 marks)
Is the logical structure clear? Are sections/paragraphs linked? Are sources carefully referenced? It the writing clear, concise and precise? Is it able to be understood by a non-statistician? Is the intuition behind the statistical analysis outlined?
