Applied Statistics introduces the bankers to the use of basic statistical concepts in banking applications. This course emphasizes topics on sampling and non-parametric methods which isn’t covered in Basic Statistics course. In sampling topic, bankers 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 participant or bankers must organize the team, perform, and analyse 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 participants will conduct a real life survey, analyse collected data and present the survey result.

The purpose of this course is to deliver the knowledge and understanding of the key elements of statistical business process that are fundamental to bank organization


  • Understand the purpose of statistical process control in banking
  • Be able to set up and use chats for means, ranges, standard deviations, and proportion non-conforming
  • Be able to use an appropriate method to estimate short term standard deviation
  • Be able to interpret the variability of a process in relation to the required tolerances


  1. Introduction to Statistical Analysis for banking
  • Example case study in SPSS
  • Objective of statistical analysis

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

5. 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
  • Practice Session

6. Exercise

–          Exercise 1: Using SPSS

–          Exercise 2. Importing data into SPSS

–          Exercise 3. Numerical and visual data summaries

–          Exercise 4. One sample t-test


Presentasi, Diskusi, Simulasi, Studikasus, Evaluasi


Dr. Dedi Rosadi M.Sc

Waktu & tempat

Tanggal: 10 – 12 JULI 2013

Hotel, Yogyakarta

Pukul 08.00 – 16.00 WIB


Rp. 6.500.000,-/participant  plus penginapan


  • Convinience Meeting room at Hotel, Yogyakarta
  • Airport pick-up and drop service
  • Transportation during training
  • 2x coffee break and lunch during training
  • Training kit
  • Hard and soft copy material
  • Certificate
  • Souvenir

Leave a Reply

Your email address will not be published. Required fields are marked *