BM7001 Frameworks for Scientific Research
Statistics Reassessment – Autumn 2021
General Instructions
These questions require you to select and run appropriate statistical tests using SPSS and to write a fully detailed commentary explaining all of your reasoning and rationale. You must include all appropriate information from the SPSS Output file for each question and EMBED the output WITHIN the commentary at the appropriate place. See 'An Introduction to SPSS Editing' document on WebLearn detailing how to do this and two references (all in Statistics Tutorial Sheets folder). The written commentary must:
- be word-processed
only
cover the points specified in the questions
- not exceed 2000 words in total
For each question detail what statistical test(s) were run, showing all relevant output generated and explain why this test(s) is appropriate? Marks will be awarded for (i) selection of correct procedures
including those needed to verify test assumptions
(ii) correct data entry and execution of tests (iii) overall presentation of the answer so that it contains only relevant material, in a logical order, neatly set out, without repetition.
For the commentary, marks will be awarded for (i) general presentation and use of English (ii) grasp of statistical theory and concepts (iii) understanding of the SPSS Output.
Mark allocation is as follows: Q1 20%; Q2 20%; Q3 30%; Q4 30%.
The work must be submitted online in WebLearn by 3pm on 2nd
August 2021. You are reminded about the University’s Regulations on Plagiarism and Academic Misconduct, outlined in the Module Booklet. A sample question with model answer is available on Weblearn.
Q1
It is thought that drinking green tea might act as a metabolism booster and lead to a change in muscle metabolism A study was carried out, to determine the effects of green tea consumption on muscle metabolism, involving 18 men who underwent arm exercise tests. 9 of the men were randomly selected to drink green tea shortly before the test and the other 9 men consumed a similar volume of water as a placebo. During the test the men’s RER was measured (RER is the ratio of carbon dioxide produced to oxygen consumed). The results obtained are shown below.
Placebo
Green Tea
105 96
119 99
100 94
97 89
96 96
101 93
94 88
95 105
98 88
What can be deduced by statistical analysis about the effect of green tea on the RER measurements observed in this study?
Q2
The following Table contains the weight in Kilograms for ten, randomly selected, football players at six different football clubs in Northern England. Using statistical analysis what can be said about the difference in weights observed, on average, for the six different football clubs?
Club
Weight
(Kg)
|
Liverpool FC
|
Everton FC
|
Leeds United
|
Burnley FC
|
Newcastle United FC
|
Sheffield United FC
|
|
87
|
62
|
73
|
77
|
74
|
78
|
|
75
|
105
|
84
|
65
|
65
|
52
|
|
57
|
72
|
81
|
92
|
81
|
86
|
|
78
|
73
|
74
|
61
|
79
|
98
|
|
98
|
64
|
97
|
83
|
81
|
67
|
|
103
|
52
|
87
|
74
|
73
|
75
|
|
96
|
53
|
62
|
58
|
75
|
94
|
|
72
|
67
|
74
|
78
|
84
|
73
|
|
80
|
77
|
62
|
86
|
96
|
74
|
|
83
|
74
|
98
|
69
|
81
|
65
|
Q3
A study was carried out to determine whether there is a relationship between the socioeconomic status of patients and tumour stage at presentation, in patients with breast, colorectal, ovarian and lung cancer. The table below shows the data collected:
|
Socioeconomic Group
|
|
Affluent
|
Middle
|
Deprived
|
Total
|
Breast Cancer
|
n=415
|
n=1185
|
n=293
|
n=1894
|
Tumour size (mm)
|
|
|
|
|
0-20
|
269
|
729
|
168
|
1167
|
21-50
|
129
|
409
|
111
|
649
|
>50
|
17
|
47
|
14
|
78
|
|
|
|
|
|
Colorectal Cancer
|
n=514
|
n=1520
|
n=393
|
n=2427
|
Dukes’ stage
|
|
|
|
|
A
|
63
|
150
|
38
|
251
|
B
|
202
|
577
|
156
|
935
|
C
|
132
|
416
|
98
|
646
|
D
|
117
|
377
|
101
|
595
|
|
|
|
|
|
Ovarian Cancer
|
n=278
|
n=792
|
n=207
|
n=1277
|
FIGO stage
|
|
|
|
|
I
|
73
|
193
|
35
|
301
|
II
|
30
|
78
|
16
|
124
|
III
|
125
|
390
|
110
|
625
|
IV
|
50
|
131
|
46
|
227
|
|
|
|
|
|
Lung Cancer
|
n=466
|
n=2118
|
n=847
|
n=3431
|
Clinical stage
|
|
|
|
|
Localised
|
151
|
760
|
340
|
1251
|
Regional
|
133
|
630
|
214
|
977
|
Distant
|
182
|
728
|
293
|
1203
|
Using statistical analysis investigate whether there is evidence that the socioeconomic status of patients is related to the cancer grades for each of the different cancer types shown above.
Discuss any significant association within each cancer type and explain the nature of each association.
Q4
A cohort of 20 MSc students were assessed upon their performance in their recent exam. The exam results were recorded in addition to a number of possible contributing factors. These possible contributing factors were:
- Hours spent revising for the exam
- BSc level entry points
- Student level of anxiety about the exam
Data is contained in file Autresit_2021_Q4.xls.
Using the data contained within this file, determine by statistical analysis which variables have an impact on student’s exam performance and the extent of the relationship.