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MPH5041 Introductory Biostatistics

tag 0 Download 5 Pages / 1,067 Words tag 13-09-2021
  • Course Code: MPH5041
  • University: Monash University
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  • Country: Malaysia

Questions:

Question 1: Identify each of the variables in the above table either as nominal, ordinal, discrete or continuous.

Question 2: Fill up the following table using appropriate summary statistics for each of the listed variables. Discuss whether dyslipidaemia is related to HbA1c, diastolic BP, insulin status and patients’ age.

Question 3: Graphically determine the relationship between dyslipidaemia and each of the following variables: duration of diabetes group, BMI group and occupation type. Present each of the above variables on an appropriate graph and discuss.

Question 4: For the following questions show the detailed calculations, most marks will be allocated for correct calculations.

(a) The lifetime of a battery is normally distributed with a mean life of 40 hours and a standard deviation of 1.2 hours. Find the probability that a randomly selected battery lasts longer than 42 hours.

(b) At a hospital, the ages of all new employees hired during the last 5 years are normally distributed. Within this curve, 95% of the ages, centered about the mean, are between 24.6 and 37.4 years. Find the mean age and the standard deviation of the data.

(c) Given that the scores on a medical test follow a normal distribution with a mean of 460 and a standard deviation of 100. If all students in a class of 41 attend the test what is the probability that the given class will obtain a mean score of above 589.93?

Question 5: Consider that the distribution of systolic blood pressure in the population is positively skewed. What will be the shape of the sampling distribution of the sample mean of systolic blood pressure in large samples?

Question 6: Briefly discuss the difference between:

  1. Randomized clinical trial (RCT) and prospective cohort study,
  2. Case-control study and historical (retrospective) cohort study,
  3. Prospective cohort study and historical cohort study
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