Teaching period 3, 2017

STA10003: Founda ons of Sta s cs Assignment 2: Analysis of data

Word limit: Maximum of 5 pages (1 page for each analysis)

Weighting: 20%

Due date: 5pm AEDT Monday 8 January 2018 (Week 8)

After you have read this information, head over to the Assignment 2 Q&A discussion board to ask any questions and see what your peers are saying about this assignment.

For this assignment you will utilise SPSS to conduct data analysis of mental health service data in five specified areas, and then write a brief report on each area.

Assignment details

Scenario

You are a new graduate at a health sciences research institute, and the lead researcher has given you a dataset which requires analyses and a written report on which you will be graded according to the rubric in the section below.

The data set is based on the Australian Health Survey from the Australian Bureau of Statistics (ABS) collected over the period from 2011 to 2012. The original data file contained over 17,000 observations, and a representative subset of the original data containing 8,525 observations (STA10003­data­2016.sav) is located in the additional resources section below.

Data prepara on

Before attempting the Assignment questions, you must use SPSS to draw a random sample of 2000 (from the 8,525 cases). You will conduct your analysis on your sample of 2,000 observations. Instructions on how to generate your random sample are contained in the additional resources section.

Note, however, that some variables contain missing values, so each of your analyses might not contain the entire 2,000 cases.

Data analysis

For your assignment, you are required to complete the following five questions by producing the appropriate analyses and writing the relevant report for each question. The reports should follow the format of the model reports provided in the additional resources section. Note: For each question you should include the relevant output (e.g. tables, confidence interval calculations and graphs) with your report.

You are required to produce the following five sets of analyses. Each analysis should be accompanied by a brief report (each report should be no more than one page).

Page Description Instructions
1 The variable ‘SA_Health’ indicates the self­assessed health status reported by participants. Produce the relevant graph and table to summarise the

‘SA_Health’ variable and write a paragraph explaining the key features of the data observed in the output in the style presented in the course materials.

2 The variable ‘FRUIT’ measures the number of serves of fruit eaten per day by respondents. Produce the relevant graph and tables to summarise the ‘FRUIT’ variable and write a paragraph explaining the key features of the data observed in the output in the style presented in the course materials.
3 The lead researcher has information relating to exercise levels from the 2011 National Health Survey in the United Kingdom, which shows that 32% of participants have an exercise level considered to be sedentary. The researcher thinks that Australians might be more active due to better weather conditions, and suggests that the percentage of sedentary people in Australia is less than 32%. The variable ‘Ex_Level’ indicates the level of exercise of participants. Conduct a Binomial test using the ‘Ex_Level’ variable to test the researchers claim. Produce the relevant output and write a Binomial test report based on your output in the style presented in the course materials.
4 The variable ‘BMI’ indicates the Body Mass Index of the respondent at the time the survey was undertaken. Information from the 2011 National Health Survey indicated that in the UK the BMI score was 27. Australian Health reports have continually stressed that Australian obesity rates are getting higher, so the researcher expects that the average BMI score for Australians is higher than 27. Conduct a One­sample t­test using the ‘BMI’ variable to test this claim. Produce the relevant output and write a One­sample t­test report based on your output in the style presented in the course materials.
Page Description Instructions
5 As many women report being on a diet, the researcher thought that females eat more fruit and vegetables than do males. Conduct an Independent samples t­test using the

‘FRUIT_VEG_COMBINED’ and ‘GENDER’ variables to test this claim.

Produce the relevant output and write an Independent samples t­test report based on your output in the style presented in the course materials.

Addi onal resources

The data set is from the Australian Health Survey from the Australian Bureau of Statistics (ABS) 2011­2012, STA10003­data­2016 (SAV 332KB) .

 Assignment 2 template (DOC 27 KB) . This document is not compulsory, you do not have to use it. It is simply a template for how to format the page layout of your assessment. Whilst we do strongly recommend you adopt this format and use the template, you will not lose marks for not doing so. Please rename the document to match your surname and student number.

Model reports (DOCX 56KB)  relevant to Assignment 2.

Instructions for generating random sample (PDF 681KB) .

Modifying your assignment data file to produce the binomial test.

The videos below were produced for a previous dataset but the processes outlined remain the same. Please note the total number of participants is different in this dataset. You will be selecting a random sample from the total number in your current dataset. The PDF instructions above also outline these processes.

Ass-2-Generating_Random_Samples_of_2000_cases

from Swinburne Online

Video 1: Generating your random sample of 2000 cases (2016) created by Swinburne Online

Ass-2-

Modifying_your_2000_cases_data_for_Binomial_Test

from Swinburne Online

Video 2: Modifying your 2000 cases data for the binomial test (2016) created by Swinburne

Online

Checklist

Correct procedure performed.

Correct variable used to produce output.

Graphs appropriately edited and labelled (e.g. edited variable names; ‘Figure 1. The distribution of …’).

Correct test values used.

All figures quoted in report correct according to your own output.

Including 95% confidence interval interpretations where appropriate.

Significance interpreted correctly (i.e. check that you are not saying the finding is significant when it is not or vice versa).

Correctly referring to the sample or population where appropriate. Proof reading of reports for errors.

This assignment will be submitted via Turnitin. You will find the relevant submission point below.

Please allow a 24­hour turnaround for an originality report to be generated. See the Turnitin originality report (https://portal.swinburneonline.edu.au/study­resources/turnitin­originalityreport­0) area of Study Resources for several guides to assist with the submission process. Assignment support

Don’t forget that in addition to your eLAs who provide discipline­specific content advice, you can access the 24/7 draft writing service from Studiosity.

If you need assistance with academic feedback on a draft of your assignment task see Assignment support: Studiosity.

  1. Summary of categorical variable.
  2. Summary of metric variable.
  3. Binomial test.
  4. One­sample t­test.
  5. Independent­samples t­test.

Your work will be assessed using the following marking guide:

Criteria No Pass Pass 50­59% Credit 60­69% Distinction 70­79% High

Distinction

80­100%

Summary of categorical variable

(20%)

Did not meet criterion. Appropriate graphs and tables for categorical data.

Reasonable attempt to summarise what is seen the in data.

Appropriate graphs and tables for categorical data. Graphs and tables suitably edited for presentation

(titles,

rounding, etc.). Written

summary covers all relevant features of output.

Appropriate graphs and tables for categorical data. Graphs and tables suitably edited for presentation

(titles,

rounding, etc.). Written

summary covers all relevant features of output and is clearly and concisely written.

All of the criteria for Distinction with no errors and outstanding written communication.

 

Criteria No Pass Pass 50­59% Credit 60­69% Distinction 70­79% High

Distinction

80­100%

Summary of metric variable

(20%)

Did not meet criterion. Appropriate graphs and tables for metric data. Reasonable attempt to summarise what is seen in data. Appropriate graphs and tables for metric data. Graphs and tables suitably edited for presentation

(titles,

rounding, etc.). Written

summary covers all relevant features of output.

Appropriate graphs and tables for metric data. Graphs and tables suitably edited for presentation

(titles,

rounding, etc.). Written

summary covers all relevant features of output and is clearly and concisely written.

All of the criteria for Distinction with no errors and outstanding written communication.
Binomial test

(20%)

Did not meet criterion. Correct output. Report presented following form at used in course materials and textbook. No major errors in report.

More than 1 or 2 minor errors.

Correct output. Report presented following form at used in course materials and textbook. Only 1­2 minor errors in report. Correct output. Report Presented following form at used in course materials and textbook. All of the criteria for Distinction and report is flawless.
Criteria No Pass Pass 50­59% Credit 60­69% Distinction 70­79% High

Distinction

80­100%

One­sample t­ test (20%) Did not meet criterion. Correct output. Report presented following form at used in course materials and textbook. No major errors in report.

More than 1 or 2 minor errors.

Correct output. Report presented following form at used in course materials and textbook. Only 1­2 minor errors in report. Correct output. Report presented following form at used in course materials and textbook. All of the criteria for Distinction and report is flawless.
Independentsamples t­test

(20%)

Did not meet criterion. Correct output. Report presented following form at used in course materials and textbook. No major errors in report.

More than 1 or 2 minor errors.

Correct output. Report presented following form at used in course materials and textbook. Only 1­2 minor errors in report. Correct output. Report presented following form at used in course materials and textbook. All of the criteria for Distinction and report is flawless.

References

The data is made available by:

Australian Bureau of Statistics. (2012). 4364.0.55.001 ­ Australian Health Survey: First Results,

2011­12. Retrieved from http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/4364.0.55.001Main+Features12011­12? OpenDocument

Assessment declaration and statement of authorship

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I have read and understood the guidelines on How to avoid plagiarism

(https://portal.swinburneonline.edu.au/study­resources/how­avoid­plagiarism­0) and no part of this work has been copied or paraphrased from any other source except where this has been clearly acknowledged in the body of the assignment and included in the reference list.

I have retained a copy of this assessment in the event of it becoming lost or damaged.

I agree and acknowledge that:

I have read and understood the Swinburne Assessment Declaration.

I accept that use of my Swinburne account to electronically submit this assessment constitutes my agreement to the Swinburne Assessment Declaration.

If I do not agree to the Swinburne Assessment Declaration in this context, the assessment outcome may not be valid for assessment purposes and may not be included in my aggregate score for this unit.

Further information relating to the penalties for plagiarism, which range from a formal caution to expulsion from the University, is contained in the Student Academic Misconduct Regulations 2012 and at the Assessment declaration (http://www.swinburne.edu.au/current­students/managecourse/exams­results­assessment/submit­work/assessment­declaration/) page.