Subject: Subject Sylbus: Industrial Statistics - 096414

Industrial Statistics - 096414
Credit
Points
3.5
 
Given In
Semester
a
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
3 1      

Determination of the grade according to progress during the semester and a final examination.


Prerequisites: Introduction to Statistics 094423
or Int. to Probability and Statistics 094480
 
Overlapping Courses: Advanced Statistics for Engineers 098419
 
Incorporated Courses: Statistical Quality Assurance 096410


Topics: Statistical Process Control. Control Charts for Attributes and Variables, Process Capability Cp, Cpk. Acceptance Sampling: Attributes and Variables, Standards. Regression: Simple Linear, Multiple, Stepwise, Dummy Variables and Interaction. Concepts and Aims of Experimental Design. Experiments with One and Two Factors, Analysis of Variance (Anova). Experiments: 2N and 2N-K Series, Blocking.

Comment: Students Who Have Not Completed Introduction to Statistics )094423( Will Be Required to Self-Study Topics That Will Be Announced at the Beginning of the Semester.



System of hours to the semesters
Semester Previous Semester information 01/2020 2020/2021 Winter Semester


Textbooks
Library
number
Compulsory
Book
PublishedPublisherAuthorsBook
109964Compulsory1980wiley, n.y.w.c. hines and d.c. montgomeryprobability and statistics in engineering & manage

Created in 06/03/2021 Time 01:42:02