Course Content
Data Collection & Questionnaire Design
Data Collection & Questionnaire Design
Sampling: Concept, Process, and Techniques
Sampling: Concept, Process, and Techniques
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Hypothesis Testing: Procedure
Hypothesis Testing: Procedure
0/2
Operations Management: Role and Scope
Operations Management: Role and Scope
0/3
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
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Enterprise Resource Planning: ERP Modules, ERP Implementation
Enterprise Resource Planning: ERP Modules, ERP Implementation
Scheduling: Loading, Sequencing, and Monitoring
Scheduling: Loading, Sequencing, and Monitoring
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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
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ISO 9000 Series Standards
ISO 9000 Series Standards
Unit VIII: Business Statistics and Operations Management

Step 1: Define the Given Values

  • Mean (μ) = 500 ml

  • Standard deviation (σ) = 5 ml

  • Range: 490 ml to 510 ml

    • Distance from the mean:

      490 = 500 − 10 (which is −2σ)

    • So, this range represents within 2 standard deviations (k = 2).

  • Assuming Normal Distribution
    If the volume follows a normal distribution, we can use the empirical rule (68-95-99.7 rule):

    • Within 2 standard deviations of the mean: ≈95.4% of values fall within this range.