Course Content
Probability Distributions
Probability Distribution – Binomial, Poisson, Normal, and Exponential
0/3
Facility Location and Layout
Site Selection and Analysis, Layout Design and Process
0/3
Probability Distribution – Binomial, Poisson, Normal, and Exponential
Probability Distribution – Binomial, Poisson, Normal, and Exponential
0/4
Data Collection & Questionnaire Design
Data Collection & Questionnaire Design
Sampling: Concept, Process, and Techniques
Sampling: Concept, Process, and Techniques
0/2
Hypothesis Testing: Procedure
Hypothesis Testing: Procedure
0/2
T, Z, F, Chi-square tests
T, Z, F, Chi-square tests
0/2
Operations Management: Role and Scope
Operations Management: Role and Scope
0/1
Facility Location and Layout: Site Selection and Analysis, Layout Design and Process
Facility Location and Layout: Site Selection and Analysis, Layout Design and Process
Enterprise Resource Planning: ERP Modules, ERP Implementation
Enterprise Resource Planning: ERP Modules, ERP Implementation
Scheduling: Loading, Sequencing, and Monitoring
Scheduling: Loading, Sequencing, and Monitoring
0/4
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
0/3
ISO 9000 Series Standards
ISO 9000 Series Standards
Operation Research: Transportation, Queuing Decision Theory, PERT/CPM.
Operation Research: Transportation, Queuing Decision Theory, PERT/CPM.
0/6
Unit VIII: Business Statistics and Operations Management

Mathematical averages, also known as mathematical means, are statistical measures that are computed based on mathematical operations. The main types of mathematical averages include:

1. Arithmetic Mean (AM)

  • The sum of all values divided by the total number of values.
  • Formula:
  • Example: The average of 10, 20, and 30 is (10+20+30) / 3 = 20.

2. Geometric Mean (GM)

  • The nth root of the product of all values.
  • Formula:
  • Used when values have exponential or multiplicative relationships (e.g., growth rates).
  • Example: The GM of 2, 4, and 8 is (2 × 4 × 8)^(1/3) = 4.

3. Harmonic Mean (HM)

  • The reciprocal of the arithmetic mean of reciprocals.
  • Formula:
  • Used when dealing with rates (e.g., speed, finance).
  • Example: The HM of 2, 4, and 8 is 3 / (1/2 + 1/4 + 1/8) = 3.43.

4. Quadratic Mean (Root Mean Square – RMS)

  • The square root of the average of the squares of values.
  • Formula:
  • Used in physics and engineering.

Key Differences:

Type of Mean When to Use
Arithmetic Mean General average calculation
Geometric Mean Growth rates (finance, population, etc.)
Harmonic Mean Rates and ratios (speed, financial returns)
Quadratic Mean Variability in physical sciences and engineering

 

Food for thought : Is Mode a Mathematical Average?

  • Mathematical averages (like mean, geometric mean, and harmonic mean) involve arithmetic calculations like summation, division, or exponentiation.

  • Mode is simply the most frequently occurring value, without any mathematical computation.