Applied Statistics
DESCRIPTION
Applied
Statistics introduces the students to the use of basic statistical concepts in
agribusiness applications. This course emphasizes topics on sampling and
non-parametric methods which isn't covered in Basic Statistics course. In
sampling topic, students learn to plan, execute, and evaluate of sample
surveys. The sampling topic covers: simple random, stratified, and cluster
sampling; multistage and systematic sampling; questionnaire design; cost
functions; and optimal designs. The students must organize the team, perform,
and analyze actual sample surveys. Nonparametric topic covers concepts of
parametric and nonparametric statistics, hypothesis tests, ranks, order
statistics, classical distribution-free tests. In the end of the course, the
students will conduct a real life survey, analyze collected data and present
the survey result.
OUTLINE
·
Basic statistics review
·
Sampling: overview
·
Sampling terminology
·
Statistical terms in sampling
o Simple random sampling
o Stratified random sampling
o Systematic random sampling
o Cluster (area) random sampling
o Multistage sampling
o Accidental, Haphazard or
Convenience Sampling
o Purposive sampling
·
Level of measurement
·
Survey research
·
Scaling
·
Qualitative measures
·
Nonparametric Methods: order statistics and their distributions
·
Empirical distribution functions, Kolmogorov-Smirnov test for the
equality of two distribution functions
·
Sign test, test for symmetry, signed-rank test,
Wilcoxon-Mann-Whitney test, Kruskal-Wallis test, run test, tests for
independence
·
Concepts of asymptotic efficiency
INSTRUCTOR
Dr. Dedi Rosadi M.Sc
Participants
Production , Maintenance, and Quality Manager
and supervisor
Duration
3 Days
