Scenario 1:
From what you have been taught previously and the slides on Moodle, please complete the required exercises below in relation to data scenario 1 (the 1st sheet of the Excel workbook associated with this task and available on Moodle). (10 marks total for scenario)
In terms of N.O.I.R. what kind of data do you have here? (1 mark)
Using prism, the statistics flow chart and the nature of the data set, what statistical tests will you need to conduct to compare all the groups? In your answer, Please walk through the steps of the flowchart showing what final tests you would do (e.g. ANOVA/T-Test/Kruskal-Wallis/Fishers etc.). Ensure you describe what normality tests have you done, what variance tests are you using and how this information dictates what final test you have done. (you will need to analysis the data in prism to achieve this answer). (4 marks)
Is there a statistical difference between (all) the groups? Please report this as; the test that was done, the P value, and whether or not this is statistically significant (assuming threshold of P<0.05 for significance). (3 marks)
These tests have given you a fair amount of statistical/mathematical information but what infrences and interpretations can you make from these statistics in the context of the specific scenario (e.g. is this finding of note? are there potenial confounds? Etc.) – give 2 examples of potential inferences / interpretations you could make? (2 marks)
Scenario 2:
From what you have been taught previously and the slides on Moodle, please complete the required exercises below in relation to data scenario 2 (the 2nd sheet of the Excel workbook associated with this task and available on Moodle). (12 marks total for scenario)
In terms of N.O.I.R. what kind of data do you have here? (1 mark)
Using prism, the statistics flow chart and the nature of the data set, what statistical tests will you need to conduct to compare all the groups? In your answer, Please walk through the steps of the flowchart showing what final tests you would do (e.g. ANOVA/T-Test/Kruskal-Wallis/Fishers etc.). Ensure you describe what normality tests have you done, what variance tests are you using and how this information dictates what final test you have done. (you will need to analysis the data in prism to achieve this answer). (5 marks)
Is there a statistical difference between (all) the groups? Please report this as the test that was done, the P value and whether or not this is statistically significant (assume threshold of P<0.05). (2 marks)
As there are multiple groups in this data set (more than 2) what post hoc statitical test do you need to do compare individual groups against the control? What are the p-values for these multiple comparisons using this test? which groups/comparisons are significantly different (again, assume threshold of P<0.05)? (2 marks)
These tests have given you a fair amount of statistical/mathematical information but what infrences and interpretations can you make from these statistics in the context of the specific scenario (e.g. is this finding of note? are there potenial confounds? Etc.) – give 2 examples of potential inferences / interpretations you could make? (2 marks)
Scenario 3:
From what you have been taught previously and the slides on Moodle, please complete the required exercises below in relation to data scenario 3 (the 3rd sheet of the Excel workbook associated with this task and available on Moodle). (16 marks total for scenario)
Using prism, the statistics flow chart and the nature of the data set, what statistical tests will you need to conduct to compare all the groups? In your answer, Please walk through the steps of the flowchart showing what final tests you would do (e.g. ANOVA/T-Test/Kruskal-Wallis/Fishers etc.). Ensure you describe what normality tests have you done, what variance tests are you using and how this information dictates what final test you have done. (you will need to analysis the data in prism to achieve this answer). (5 marks)
Is there a statistical difference between (all) the groups? Please report this as the test that was done, the P value and whether or not this is statistically significant (assume threshold of P<0.05). (2 marks)
As there are multiple groups in this data set (more than 2) what post hoc statitical test do you need to do compare individual groups against each other? What are the p-values for these multiple comparisons using this test? which groups/comparisons are significantly different (again, assume threshold of P<0.05)? (2 marks)
Produce an appropriate graph with approprate statistics shown on it and an a supporting figure legend to explain what is shown on the graph, any statistics to report or notatitions that need explaining. This should have appropriate axis, titles, and statistics shown on it (5 marks)
These tests have given you a fair amount of statistical/mathematical information but what infrences and interpretations can you make from these statistics in the context of the specific scenario (e.g. is this finding of note? are there potenial confounds? Etc.) – give 2 examples of potential inferences / interpretations you could make? (2 marks)
Scenario 4:
From what you have been taught previously and the slides on Moodle, please complete the required exercises below in relation to data scenario 4 (the 4th sheet of the Excel workbook associated with this task and available on Moodle). (6 marks total for scenario)
With workings and walkthrough, please calculate the odds/likelyhood ratio of males being symptomatic compared against females. (3 mark)
Assuming this was study was complete and being put forward for future application; please calculate (with workings and walkthrough), the relative risk of females being symptomatic compared against males. (3 mark)
Scenario 5:
From what you have been taught previously and the slides on Moodle, please complete the required exercises below in relation to data scenario 5 (the 5th sheet of the Excel workbook associated with this task and available on Moodle). (6 marks total for scenario)
In terms of N.O.I.R. what kind of data do you have here? (1 mark)
With workings and walkthrough, use an appropriate statistical test (hint: use the other flow chart) to show if there is a significant statistical difference between the vegetarians and the meat eaters and “midnight” snacking. Please report this as the test that was done, the P value obtained and whether or not this is statistically significant (assume threshold of P<0.05). (5 mark)
