一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写

med5029
時間:2021-07-07

Introduction to Statistical Methods (MED5029)

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.

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写       Please check well in advance that you can access the data for analysis in case you have problems with this near the deadline!

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写When analysing the data and writing your report you should:

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写? provide appropriate plots and /or tables to summarise the data

? state and justify any assumptions you make,

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写? describe the analysis you have done,

? 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.]

Context

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 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.

Data

 The data are stored in the Stata data file “ITS2021_REASSESSMENT_v12.dta" as follows:

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写ID             Subject reference number (1001, 1002, …,5240)

 age         age at last birthday (years)

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 sex 1:     male 0: female 

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 

2: high school qualification

 3: college/university qualification

 4: post graduate qualification NA: missing

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 smoker     current smoker 

1: smoker 0: non-smoker

 cigsperday       number cigarettes smoked per day NA: missing

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 bpmeds         taking blood pressure medication

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 0: not on medication 

1: taking medication 

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写NA: missing

 stroke      has had a stroke ?

 1: Yes    0: No 

hypertension        has hypertension ? 

1: Yes      0: No

diabetes         has diabetes ?

 1: Yes    0: No 

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写totchol        cholesterol level (mg/dL)

 NA: missing

 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) 

 NA: missing

 glucose             blood glucose (mg/dL) 

NA: missing

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 ?

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写 1: At risk      0: No risk

Questions

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写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?

一站式論文代寫,英国、美国、澳洲留学生Essay代寫—FreePass代写3. For males and females separately is there any evidence that blood glucose differs by hypertension diagnosis?

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?

6. Predict BMI for the following diastolic blood pressure readings. 

a) 45 Hg b) 150 Hg

7. In your opinion are these predictions valid ?



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