Coursework 2020-2021 (Practical skills e-assessment)
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 Attempt all parts of the questions, which are worth 75% of your overall mark for this course. The deadline for submission is 24 th June 2021.
Save the files to a convenient location on your PC and read them into R. The data set contains variables that are ready for analysis and no recoding of variables is required, but you will need to label them appropriately and assign value labels to the variables where appropriate. You are expected to use both the R manual and the Introduction to Statistics manual to help you answer the questions.
Please check well in advance that you can access the data for analysis in case you have problems with this near the deadline!
When analysing the data and writing your report you should:
? provide appropriate plots and /or tables to summarise the data
? state and justify any assumptions you make,
? describe the analysis you have done,
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写? interpret the results in non-technical language
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 Your report should include the relevant sections of R output, copied and pasted into your document. Do not include R syntax in the output. You should ensure that your output and any plots you consider informative are appropriately and informatively labelled. [Do NOT print out and hand in the entire contents from the R console – only include relevant output.]
The Framingham data set is a famous cross sectional survey of respondents in Framingham, Massachusetts who were asked to participate in a study in 1948 to help predict the factors of coronary heart disease. Since the survey was first done in 1948 the relatives of the original respondents now contribute data to the study. The data set you have is a random sample from the original 1948 survey.
The data are stored in the Stata data file “ITS2021_REASSESSMENT_v12.dta" as follows:
ID Subject reference number (1001, 1002, …,5240)
age age at last birthday (years)
sex 1: male 0: female
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写education level of educational qualification
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写1: none or basic education
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写2: high school qualification
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 3: college/university qualification
4: post graduate qualification NA: missing
smoker current smoker
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写1: smoker 0: non-smoker
cigsperday number cigarettes smoked per day NA: missing
bpmeds taking blood pressure medication
0: not on medication
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写1: taking medication
stroke has had a stroke ?
1: Yes 0: No
hypertension has hypertension ?
1: Yes 0: No
diabetes has diabetes ?
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 1: Yes 0: No
totchol cholesterol level (mg/dL)
sysbp systolic blood pressure (Hg)
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写diabp diastolic blood pressure (Hg)
bmi Body Mass index (kg/m 2 )
heartrate Heart rate (beats per minute)
glucose blood glucose (mg/dL)
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 tenyearchd CHD risk in 10 years ?
1: At risk 0: No risk
1. Calculate the % of males and females who have hypertension in the sample. Use an appropriate test and 95% confidence interval to investigate whether the percentage of males with hypertension is significantly different to the percentage of females with hypertension
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写2. Is there any evidence of a difference in cholesterol levels between males and females?
3. For males and females separately is there any evidence that blood glucose differs by hypertension diagnosis?
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写4. Is there any evidence of a difference in average BMI between the 4 categories of education?
5. The literature on cardiovascular disease suggests that BMI can be predicted from diastolic blood pressure. Is there any evidence that this is the case within this data set?
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写6. Predict BMI for the following diastolic blood pressure readings.
一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写a) 45 Hg b) 150 Hg
7. In your opinion are these predictions valid ?