APPLIED STATISTICAL PROCESS CONTROL
BEST PRACTICES
COURE OVERVIEW
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.
OBJECTIVES
·
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
TRAINING METHODSIntroduction 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
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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
-
Data interpretation &
Reporting
PARTICIPANTS
This program is intended for Personal in
any level in Production, Inventory, Logistics Maintenance,
and Quality Manager and supervisor
INSTRUCTORS
Dr. Dedi Rosadi M.Sc
