ECON1193_A2.docx

# ECON1193_A2.docx - ECON 1193 Business Statistics Assessment...

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ECON 1193 Business Statistics Assessment 2: Individual Reflection Stratified Sampling Method Definition Stratified sampling method is a multistage sampling method which requires the split of a population into smaller non-overlapping subpopulations known as strata. The strata are set up based on shared attributes and sorting criteria. Moreover, the strata make up the entire population so that each sampling component is located in precisely one stratum (Lohr, 2010) . Then independent samples from each stratum are drawn in numbers corresponding to the size of each stratum in the population (CFA Institute, 2016). These samples are then put together to acquire general population estimates. Examples One real life example of stratified sampling method is when the American Council of Learned Societies (ACLS) used this sampling method to study the membership pattern along with computer and library usage. They had drawn sample from selected ACLS societies stratifying by disciplines. The data are presented in Table 1.1 Table 1.1 Data from ACLS Survey Discipline Membership Number Mailed Valid Returns Female Members (%) Literature 9,100 9115 636 38 Classics 1,950 633 452 27 Philosophy 5,500 658 481 18 History 10,850 855 611 19 Linguistics 2,100 667 493 36 Political Science 5,500 833 575 13 Sociology 9,000 824 588 26 Totals 44,000 5,385 3,835 Source: ACLS (Morton and Price, 1989) One more example using stratified random sampling is the Labour Force Survey (2013) conducted by the General Statistics of Vietnam. Regarding the survey about the labour force participation rate in 2013, the sample is stratified by gender and socio-economic region. The data are shown in table 1.2. Table 1.2: Labour force participation rate in 2013 Unit: Percentage Residence/Socio-economic region Total Male Female Male- female Gap

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Entire country 77.5 82.1 73.2 8.8 Urban 70.3 76.3 64.8 11.5 Rural 81.1 84.8 77.5 7.3 Socio-economic region Northern Midlands and Mountains 85.9 87.4 84.4 3.0 Red River Delta (*) 77.3 79.0 75.7 3.3 North and South Central Coast 79.4 82.4 76.6 5.9 Central Highlands 83.4 86.2 80.6 5.5 Southeast (*) 77.6 83.8 71.9 11.9 Mekong River Delta 77.2 85.1 69.7 15.4 Ha noi city 70.9 74.7 67.4 7.3 Ho Chi Minh city 64.8 74.4 56.5 17.8 (*) Red River Delta excludes Hanoi City and Southeast excludes Ho Chi Minh City. Source: General Statistics Office of Vietnam Another example about the usage of stratified random sampling method is the Enterprise Survey in Vietnam (World Bank and General Statistics Office of Vietnam, 2015). There are three levels of stratification in this sample which are industry stratification (Food and Beverages, Garments,...), establishment size (Small, Medium, Big) and region (Red River Delta, Southeast,...). Data are presented in Table 1.3. Table 1.3: Vietnam Enterprise Survey 2015
Food and Beve rage s Garm ents Non metal lic mine ral prod ucs Fabric atd metal produ cts Other manu factu ring Ret ail Other Servic es Gra nd Tota l Red River Delta Small 56 145 74 93 174 91 148 2,04 5 Medium 50 78 63 59 301 41 144 Large 53 66 80 129 92 51 57 North Central area and Central coastal area Small 48 40 148 60 72 50 117 1,17 6 Medium 52 48 64 40 43 48 62 Large 53 53 57 22 35 25 39 South East Small 215 220 178 135 261 379 337 3,53 2 Medium 128 117 147 75 207 49 243 Large 116 257 101 72 158 89 48 Mekong River Delta Small 137 21 33 66 67 44 90 1,14 2 Medium 122 45 37 46 48 45 37 Large 145 59 18

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