PELATIHAN APPLIED STATISTICS BEST PRACTICE

PELATIHAN APPLIED STATISTICS BEST PRACTICE

DESKRIPSI

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.(ci)

OUT  LINE  TRAINING

DAY-1

Theoritical

Introduction to Statistical Analysis

• Example case study in SPSS
• Objective of statistical analyses

Exploratory Data Analysis

• Why data exploration is essential in statistical inference
• Informal descriptions of data – numerical and visual summaries

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

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

PESERTA