Questions
1. Which of the following is most correct about the ABS LFS? (1 mark)
The LFS sample (choose 1)
a) Provides information on labour market activity of Australian residents
b) Provides information on labour market activity for each state and territory in Australia
c) Provides information on labour market activity of all Australian residents aged 15 years and over
d) Provides information on labour market activity of all Australian civilian residents aged 15 years and over
e) A and B
f) None of the above
2. What type of sampling method can be used to select the sample for LFS? Give 2 reasons for your chosen response (2 marks).
3. UNICEF data on Care seeking for diarrhoea indicates the percentage of children (under age five) with diarrhoea for whom advice or treatment was sought from a health facility or provider. A1_DiarCare.csv is a sub-sample of the UNICEF diarrhoeal care data. The data contains the following variables:
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Year |
Data collection year |
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Data source |
Source of data used |
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Country |
Average percentage at national level |
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Sex |
Male |
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Female |
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Area |
Urban |
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Rural |
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Wealth Index Quintile |
Poorest |
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Second |
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Middle |
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Fourth |
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Richest |
Use the A1_DiarCare.csv data for question 3.
3.1. Considering all countries, what is the average percentage of children under five that sought advice or treatment from a facility or provider? Indicate the associated SD and IQR (p75-p25) and report to 2 decimal places (1 mark).
3.2. What is the nature of the distribution of the national variable data? Give stats to support your answer (1 mark).
3.3. Which of the following is most correct? (1 mark)
A: Children in urban areas always sought advice for diarrhoea care from a health facility or provider more than children in rural areas.
B: Children in urban areas sought advice for diarrhoea care from a health facility or provider more than children in rural areas by 46.06%
C: Children in rural areas sought advice for diarrhoea care from a health facility or provider less than children in urban areas by 44.92%
D: Children in rural areas sought advice for diarrhoea care from a health facility or provider less than children in urban areas by 4%.
3.4 Using the appropriate measure of spread and location, compare the poorest and richest quantiles for all countries (3 marks).
3.5 What conclusion can you make based on the results above for poorest and richest quintile seeking diarrhoea care for children? (1 mark)
4. The data set T3_A1_2020_NHIS_adult_NCD.csv is a sub-sample of the 2019 NHIS adult sample (13 variables 6,997 observations). A complete description of the data variables is found in the word document T3_2020_A1_nhis_adultsampledata_description. You should read this data description before attempting to answer the questions.
Use T3_A1_2020_NHIS_adult_NCD.csv data to answer question 4.
For the following questions, use data from quarters 1 and 2 (variable invt_QRT)
For this question, you will use the variable phstat_a, which is the response to the question "Would you say your health in general is excellent, very good, good, fair, or poor?"
Explore the variable phstat_a using graphical analysis - the graph should indicate percentage of frequencies on the Y axis.
4.1 Before drawing the graph - rename the variable phstat_at as health_status (½ mark).
4.2 Add value labels to renamed variable health_status (1 mark).
4.3 Draw the graph for health status including graph bar heights (2 Marks).
4.4 Explain the results from the graph (1mark).
4. The data set T3_A1_2020_NHIS_adult_NCD_datacleaningdata.csv is a sub-sample of the 2019 NHIS adult sample (9 variables 1,000 observations). See data description in the word document T3_2020_A1_nhis_adultsampledata_description.
Use T3_A1_2020_NHIS_adult_NCD_datacleaningdata.csv data to answer question 5.
5.1 This question is about data cleaning: Use data from all quarters for question 5 (3 marks).
Check the variables for any errors using the tabulate command and correct the error appropriately.
Do consider variable association where applicable. Comment on the responses given and justify why data cleaning is necessary.
5.2. What is the proportion and number of respondents advised to take aspirin that are now still following the doctor's advice? (1/2 mark)
6.1 Generate a new variable pain as follows and add value labels (1 Mark).
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pain = 0 if paifrq3m_a is reported as never (add value label none) |
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pain = 1 if paifrq3m_a is reported as some days (add value label mild) |
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pain = 2 if paifrq3m_a is reported as most days or everyday (add value label moderate/severe) |
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6.2 Did pain impact men or women more? Use stats to support your answer and report to 2 decimals (1 Mark).
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