HLTH2022 Biostatistics in Health — Assessment 2 2022
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- Aims of analysis – 10%
In about 100-150 words, say what you want to know from the analysis, the questions you
want the data and your analysis to answer. Consider:
Why you have chosen the variables selected for this analysis, why these variables
are important. Given reasons. You may optionally support your ideas with citations
and references if they support your academic argument. Citations and references are
not essential. Your own ideas are essential. Your general knowledge about the world
should help with this section.
Relationships (associations) you expect to find between combinations of variables.
Give reasons for exploring these associations. What do you expect the results to
show, and why? Predicted associations can be expressed as hypotheses you want
your analysis to test. Consider: Why should these variables be associated? Say why. - Single-variable descriptive statistics – 30%
Conduct single-variable analyses on at least four variables to describe the sample.
Results should be presented in at least one labelled table of numerical results and at least
one frequency histogram. Adding a normal curve to the frequency histogram for a continuous
variable would assist the interpretation of normality. Correct interpretation of normality, where
appropriate, will increase the score. The number of analyses is not specified. Prose
presentation of results (words and numbers in sentences) may be used so long at least one
table and at least one graph are also supplied.
HLTH2022 Biostatistics in Health — Assessment 2 2022
Student name and number: Page 2
Should appear on every printed page. Use the Word footer to replace this text. Keep the page number visible.
Summarise the sample description in your own original words, without simply repeating the
table data. Repeating table data is not good reporting unless you really need to restate the
numbers in order to make an important point about the results.
Marks are allocated on:
Appropriate selection of variables, matching variables to analysis method and validity
of analysis
Presentation of results – accuracy, labelling and presentation.
Validity, relevance and importance of the stated interpretation and conclusion, clearly
and concise prose style, and relevance to stated aims.
- Finding associations 40%
Choose at least any two of the analyses listed below to identify and interpret meaningful
associations between sets of variables.
Cross-tabulation.
Breakdown of descriptive statistics by group.
Correlations.
At least four variables will need to be analysed. Present the results in at least two properly
presented (i.e., meaningfully labelled, accurate and easily interpretable) tables. Also include
at least one graph illustrating an important relationship.
Appropriate selection of variables, matching variables to analysis method and validity
of analysis.
Presentation of results – clarity, accuracy, labelling and appropriateness.
Validity and relevance of interpretation, clarity, precision of interpretation, relevance to
stated aims.
HLTH2022 Biostatistics in Health — Assessment 2 2022
Student name and number: Page 3
Should appear on every printed page. Use the Word footer to replace this text. Keep the page number visible.
For a higher score, include at least one new, derived variable based on recoding or
transformation of an existing variable or variables in this analysis. See also the Module 5
tutorial instructions.
- Discussion 20%
Summarise what you have found from all of your analyses. What do your results mean for
the state of the world’s children? Is the situation good or bad, and why – give reasons
beyond only “good” and “bad”. Do not merely repeat the results. Instead, interpret the
findings, mentioning the wider implications. Suggested length, a few to several sentences. A
careful choice of variables to analysis will make this section easier to write and more
meaningful. If the analyses are connected conceptually, a more integrated (i.e., less
fragmented or piecemeal). Match this section to your analysis aims.
