Statistics for management

Learning goals The primary goal of the present course is to allow students to learn the main elementary techniques and methodologies for sampling finite populations and estimate population parameters. Students should be able to plan a sample survey and analyze collected data in order to provide point and interval estimates of the population parameters. Knowledge and understanding. Students are expected to have a good knowledge of the main elementary sampling designs (simple random sampling, stratified sampling, single-stage cluster sampling, two-stage sampling, systematic sampling) as well as a basic knowledge of variable-probability sampling designs. Applying knowledge and understanding. Students should be able to formalize real problems involving survey sampling and should use acquired knowledge to solve real problems. Furthermore, they should be able to estimate parameters of interest even in the presence of auxiliary variables. Making judgements. Students should develop their skills by planning sample surveys. Communication skills. Students should learn the appropriate language of survey sampling. Learning skills. Students should be able to attack the problem of planning a sample survey by using elementary sampling designs. This is the typical case of surveys on a small/medium scale.