Course Content
Data Visualization
0/7
Histogram
Frequency Polygon
Difference Between Histogram and Frequency Polygon
Relative Frequency Distribution
Cumulative Frequency Table
Box and Whiskers : IQR
Contingency Table
Statistics
0/8
Method of Least Square : Regression Analysis
Assumptions Regarding the Error Term in Regression
Demand Forecasting
Types of Reliability in Research
ISO 9000 Series Standards
Lean Manufacturing
5S Lean Methodology
Control Charts
Concept, Measures of Central Tendency and Dispersion,
Concept, Measures of Central Tendency and Dispersion,
0/8
**Contingency Table (Cross-Tabulation Table)
**Measures of Central Tendency: Mean, Median & Mode
**Standard Deviation
**Karl Pearson’s Coefficient of Variation
**Positional Averages (Positional Means)
**Mathematical Averages (Mathematical Means)
Population Variance v/s Sample variance
Measures of Dispersion
Probability Distribution – Binomial, Poisson, Normal, and Exponential
Probability Distribution – Binomial, Poisson, Normal, and Exponential
0/8
Different Distributions
Normal Distribution Characteristics
Normal Distribution Example
**Binomial Distribution
**Poisson Distribution / Queing Theory
Poisson distribution
Exponential Distribution
Binomial Distribution
Data Collection & Questionnaire Design
Data Collection & Questionnaire Design
Sampling: Concept, Process, and Techniques
Sampling: Concept, Process, and Techniques
0/2
**Sampling Methods
–research process
Hypothesis Testing: Procedure
Hypothesis Testing: Procedure
0/2
**Hypothesis Testing
–Type I & Type II Errors
T, Z, F, Chi-square tests
T, Z, F, Chi-square tests
0/3
Types of Statistical Tests
Chi-Square Goodness of Fit Test
Limitation of Chi Square Test
Correlation and Regression Analysis
Correlation and Regression Analysis
0/4
Correlation Coefficient
Regression Coefficient
Relationship Between Correlation Coefficient and Regression Coefficient
Correlation and Regression Analysis
Operations Management Basics
0/6
Time Study
Motion Study
EOQ: Economic Order Quantity
EOQ
Process Mapping Symbols
Key Figures in Operations Management
Operations Management: Role and Scope
Operations Management: Role and Scope
0/3
–Introduction
CNC
Line Balancing
Facility Location and Layout: Site Selection and Analysis, Layout Design and Process
Facility Location and Layout: Site Selection and Analysis, Layout Design and Process
Facility Location and Layout
Site Selection and Analysis, Layout Design and Process
0/3
Plant Layout Design
Data Collection Method
Question ID
Enterprise Resource Planning: ERP Modules, ERP Implementation
Enterprise Resource Planning: ERP Modules, ERP Implementation
Scheduling: Loading, Sequencing, and Monitoring
Scheduling: Loading, Sequencing, and Monitoring
0/6
–Scheduling
**Gant Chart
**Line Balancing
**Inspection Process and Types
Scheduling: Johnson’s Rule
Johnson’s rule example
Quality Management and Statistical Quality Control, Quality Circles, Total Quality Management – KAIZEN, Benchmarking, Six Sigma
Quality Management and Statistical Quality Control, Quality Circles, Total Quality Management – KAIZEN, Benchmarking, Six Sigma
0/5
**Kaizen
**Six Sigma
Benchmarking Generations
Sequence of Activities involved in Quality Circle Development
Quality Control Tools
ISO 9000 Series Standards
ISO 9000 Series Standards
Operation Research: Transportation, Queuing Decision Theory, PERT/CPM.
Operation Research: Transportation, Queuing Decision Theory, PERT/CPM.
0/8
**Assignment: Complete Enumeration Method
–VAM: Vogel’s Approximation Method
Steps in VAM
**North-West Corner Method
**PERT: Program Evaluation and Review Technique
**CPM: Critical Path Method
**PERT VS CPM
**Queue Discipline
Transportation
0/4
Tranportation Foundations
Framework/Algortihm to Solve Transportation Problems
LCM: Least Cost Method
What is ERP (Enterprise Resource Planning)?
Final Evaluation
0/1
Rapid Fire : Business Statistics and Operations Management
Unit VIII: Business Statistics and Operations Management
  • A. The probability of both success and failure remains constant → I. Binomial Distribution
    In a binomial distribution, the probability of success (p) and failure (q) remains constant for each trial.
  • B. The mean of distribution may be negative or positive → III. Normal Distribution
    A normal distribution is symmetric and its mean can take any real value, positive or negative.
  • C. The sum of all probabilities is equal to 1 → IV. Random Variable
    For a random variable, the total probability of all possible outcomes must be equal to 1.
  • D. The probability of occurrence of an outcome within a very small time period is very small → II. Poisson Distribution
    Poisson distribution is used for rare events occurring over a short interval of time or space.

 

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