The course's main goal is to assist participants in comprehending the fundamental ideas of statistical process control and statistics. An introduction to continuous and discrete distributions, as well as their relationship to the development of a comprehensive statistical control system for a process or function (such as a service function), is provided in this course. Basic statistics (hypothesis testing, confidence intervals) will be covered in the course and how they relate to the construction of process control systems.

Course Objectives:

Course Learning Objectives:

Participants will learn the methods in collecting Raw Data through sampling methods and techniques and collection of Quantitative and Qualitative Data
The various terminology and tools applied to Statistics
How to analyze, interpret and present meaningful information
They will also learn how to utilize the acquired information for Data and Systems Modeling for Statistical Techniques and Experimental Planning

Who Should Attend?

Engineers, Technicians, Chemical Engineers, Analysts, Quality Controllers, Staff involved in Planning and Forecasting in Operations, Maintenance & Process Engineers.

Course Outlines:

Types of Data

Quantitative
Qualitative
Primary and Secondary Data
Population, Empirical Perception
Collection and representation
Data Summaries Methodologies
Selective Sampling
Random Sampling
Numerical Summaries
Averages, Arithmetic Mean, Moving Averages
Median, Mode Spread, Range
Standard Deviation (SD)
Central Tendency, Dispersion
Variance
Frequency, Dispersion
Quartiles
Probability
Law of probability
Decision Trees
Expectancy
Inference, Monte Carlo Method
Graphical and Numerical Summary Presentation
Variable in a Sample
Discretion & Continuous
Nominal & Ordinal
Graphical Display Methods
Pie Charts, Bar Charts, Column Charts
Histograms, Time Series Plots
Scatter grams, Stem and Leaf Plots
Pictograms
Distribution Analysis
Frequency Distribution
Exponential Distribution
Normal Distribution
Poisson Distribution
Probability Distribution
Binominal Distribution & Skewness
Significant Testing / Hypothesis & CIH Square Test
Measures of Association: Correlation and Coefficient
Regression Analysis
Forecasting Methods of Estimation - Confidence Intervals
Control Charts
Statistical Techniques
Variance
Cluster
Component
Discriminant
An Overview of Statistical Computer Software Programs
Examples of Case Studies exercises and discussion including:
Budget Preparation, Manpower
Planning,
Maintenance Shutdown Planning
Sales Forecasting
Accounting and Forward Business Planning (five-year strategies)

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