Applied Statistics Best Practice
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.
DAY-1
Theoritical
1. Introduction to Statistical Analysis
• Example case
study in SPSS
• Objective of
statistical analyses
2. Exploratory Data Analysis
• Why data
exploration is essential in statistical inference
• Informal
descriptions of data - numerical and visual summaries
3. Introduction to Hypothesis Testing
• Translating
scientific questions into statistical hypotheses
• Formulating and
testing one sample hypotheses
• Interpreting the
output of a hypothesis test - p-values and errors
4. Choosing an Appropriate Statistical Test
• One sample case
study using t-test and Wilcoxon signed rank test
• Parametric or
Non-parametric tests
.
Comparing Two Populations
• Extending one
population hypotheses to two populations
• Two sample
t-test and Wilcoxon rank sum test
• Paired t-test
and Wilcoxon signed rank test
DAY-2
Exercises
• Exercise 1.
Using SPSS
• Exercise 2.
Importing data into SPSS
• Exercise 3.
Numerical and visual data summaries
• Exercise 4. One
sample t-test
• Exercise 5. One
sample t-test, Wilcoxon signed rank test
• Exercise 6.
Which test and why?
• Exercise 7. Two
sample t-test or Wilcoxon rank sum test
• Exercise 8. Paired t-test
and Wilcoxon signed rank test
INSTRUCTOR
Dr. Dedi Rosadi M.Sc
Participants
Personal in any level in Production, Inventory,
Logistics Maintenance, and Quality Manager and supervisor
