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Statistical Methods of Acceptance Sampling

I.     Course Prefix/Number: MFG 151

       Course Name: Statistical Methods of Acceptance Sampling

       Credits: 3 (3 lecture; 0 lab)

II.    Prerequisite

MFG 150

III.   Course (Catalog) Description

Statistical Methods of Acceptance Sampling is a continuation of MEC 150 Statistical Process Control. It includes a review of the fundamentals of probability and statistics, introduction to sampling methods, acceptance sampling and reliability analysis. The course is designed for quality control engineers, auditors and inspectors.

IV.   Learning Objectives

A. Study methods of inspection of reduce waste and prevent defects.

B. To use statistical quality control methods to evaluate the quality of incoming raw materials or outgiing finished products.

C. To understand sampling methodology for acceptance.

D. To use statistical methods for relability analysis.

V.    Academic Integrity

Students and employees at Oakton Community College are required to demonstrate academic integrity and follow Oakton's Code of Academic Conduct. This code prohibits:

• cheating,
• plagiarism (turning in work not written by you, or lacking proper citation),
• falsification and fabrication (lying or distorting the truth),
• helping others to cheat,
• unauthorized changes on official documents,
• pretending to be someone else or having someone else pretend to be you,
• making or accepting bribes, special favors, or threats, and
• any other behavior that violates academic integrity.

There are serious consequences to violations of the academic integrity policy. Oakton's policies and procedures provide students a fair hearing if a complaint is made against you. If you are found to have violated the policy, the minimum penalty is failure on the assignment and, a disciplinary record will be established and kept on file in the office of the Vice President for Student Affairs for a period of 3 years.
Details of the Code of Academic Conduct can be found in the Student Handbook.

VI.   Sequence of Topics

A. Review of Fundamentals of probability and statistics
    1.1 Elements of probability arithmetic
    1.2 Discrete and continuous variables
    1.3 Binomial, poisson, Normal and Chi-square distributions
    1.4 Description Statistics
    1.5 Inferential Statistics
    1.6 Population meam us sample mean
    1.7 Confidence Interval
    1.8 Testing of statistical hypothesis
    1.9 Alpha and Beta probabilities

B. Sampling Methods
    2.1 Basic principles of sampling theory
    2.2 Sampling Error
    2.3 Nonsampling Error
    2.4 Types of sampling
    2.5 Significance level

VII.  Methods of Instruction

Lectures, demonstrations, and case-study analysis.
Course may be taught as face-to-face, media-based, hybrid or online course.

VIII. Course Practices Required

Each instructor will determine a program of study assignments to be coordinated with the "hands on" approch implied by the parctical nature of this course.

IX.   Instructional Materials

Note: Current textbook information for each course and section is available on Oakton's Schedule of Classes.

"Quality Control", Besterfield - (Second Ed.), Prentice - Hall, New Jersey

X.    Methods of Evaluating Student Progress

Grade will be based on completion of written assignments, classroom participation, completion of laboratory assignments, and examinations.

XI.   Other Course Information

Each instructor will established specific policies as regards attendance, make-up examinations, incomplete grades etc.

If you have a documented learning, psychological, or physical disability you may be entitled to reasonable academic accommodations or services. To request accommodations or services, contact the Access and Disability Resource Center at the Des Plaines or Skokie campus. All students are expected to fulfill essential course requirements. The College will not waive any essential skill or requirement of a course or degree program.