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401077 Introduction to Biostatistics | Assignment

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Introduction to Biostatistics (401077)

   

Added on  2019-11-19

401077 Introduction to Biostatistics | Assignment

   

Introduction to Biostatistics (401077)

   Added on 2019-11-19

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Running Head: INTRODUCTION TO BIOSTATISTICS 1 Introduction to Biostatistics Course code: 401077NameInstitutionInstructor Spring 2017Date
401077 Introduction to Biostatistics | Assignment_1
INTRODUCTION TO BIOSTATISTICS 2Question 1 (10 marks) Research question: Does the average hours minutes of moderate to vigorous physical activity (MVPA) differ by gender in young adult Australians?Use the assignment data set assigned to you: Variables to analyse: ‘MVPA’ and ‘sex’.Note: Each student will get different answers as the data sets differ.a)Using R Commander draw histograms of MVPA by sex. Add reasonable axis labels. (1 mark)SolutionNote that MVPA has a strong positive skew. Possible responses include:i/ Use a parametric approach (as the sample size is large enough for the Central Limit Theorem to apply) orii/ Use a non-parametric approach. b)Address the research question applying option i/ above Please use R Commander to do all calculations but format your answer following the 5 step method. (6 marks)Solution
401077 Introduction to Biostatistics | Assignment_2
INTRODUCTION TO BIOSTATISTICS 3STATE: We will test the claim that the average hours minutes of moderate tovigorous physical activity (MVPA) differ by gender in young adult Australians.FORMULATE: We will test the following hypotheses at 5% significance levelAn independent t-test will be usedDifferences: Male – Female = μdH0:μd=0H1:μd≠0α=0.05SOLVE: We first check the requirements. Assume that tablets were randomly selectedfor testing. The sample is large (n = 349 > 30) hence assumption of normality wasmade and a parametric test was performed;We performed an independent t-testThe following R output has been obtained:Table 1: Independent T-Test and CI: Male, Female DECISION:> t.test(MVPA~sex, alternative='two.sided', conf.level=.95, var.equal=FALSE, + data=shortsight)Welch Two Sample t-testdata: MVPA by sext = 1.9738, df = 273.492, p-value = 0.04941alternative hypothesis: true difference in means is not equal to 095 percent confidence interval: 0.00227584 1.74477212sample estimates: mean in group male mean in group female 4.585890 3.712366
401077 Introduction to Biostatistics | Assignment_3

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