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Statistical Analysis For Ie 2 IE - PC 213

This document provides information about the Statistical Analysis for IE 2 course. It is a 3-credit hour course that meets for 3 hours per week. The course breakdown is 70% lecture and 30% group project. The scope of the course involves regression, correlation, design of experiment, and their applications in industrial engineering. The objectives are to understand statistical tools for engineering applications, design valid experiments, analyze engineering data, and make recommendations based on statistical analysis. The course will cover topics like the normal distribution, confidence intervals, hypothesis testing, comparing means, proportions, variances, correlation, and regression.

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Beverly Kate Lopez
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843 views7 pages

Statistical Analysis For Ie 2 IE - PC 213

This document provides information about the Statistical Analysis for IE 2 course. It is a 3-credit hour course that meets for 3 hours per week. The course breakdown is 70% lecture and 30% group project. The scope of the course involves regression, correlation, design of experiment, and their applications in industrial engineering. The objectives are to understand statistical tools for engineering applications, design valid experiments, analyze engineering data, and make recommendations based on statistical analysis. The course will cover topics like the normal distribution, confidence intervals, hypothesis testing, comparing means, proportions, variances, correlation, and regression.

Uploaded by

Beverly Kate Lopez
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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STATISTICAL

ANALYSIS FOR
IE 2
STATISTICAL ANALYSIS FOR IE 2
IE – PC 213
Statistical Analysis for IE 2
PRE-REQUISITE
Statistical Analysis for IE 1

SCHEDULE
3 Contact Hours per Week

ACTIVITY BREAKDOWN
Lecture (70%) - Individual
Group Dynamics/Project (30%) - Group
Statistical Analysis for IE 2
Statistical Analysis for Industrial Engineering 2
Old Curriculum
Advanced Statistics

SCOPE
Regression, Correlation, Design of Experiment (DOE), and their applications in Industrial Eng’g

OBJECTIVES
1. Understand the tools and techniques of statistical design & analysis for eng’g applications.
2. Design, conduct and analyze statistically valid experimental designs.
3. Provide valid analysis and evaluation of eng’g data.
4. Make recommendations based on sound statistical analysis and experiments.
Statistical Analysis for IE 2
COURSE DETAILS

Module 1 – The Normal Distribution

Module 2 – Confidence Interval and Sample Size

Module 3 – Hypothesis Testing

Module 4 – Testing the Differnce Between Two Means, Two

Proportions, and Two Variances

Module 5 – Correlation and Regression

Module 6 – Chi-Square and Analysis of Variance (ANOVA)


Statistical Analysis for IE 2
TEXTBOOKS / REFERENCES
ELEMENTARY STATISTICS
Allan G. Bluman
7th Edition

ENGINEERING STATISTICS DEMYSTIFIED


Larry J. Stephens
2nd Edition

STATISTICS UNPLUGGED
Sally Caldwell
2nd Edition
ACTIVITIES
Check up Quiz (Statistical Analysis for IE 1)
◦ Take Home, submission is via email.

Advance Read/Know the following (for next week):


◦ Module 1 – The Normal Distribution

Grouping for Group Dynamics c/o Class Mayor


◦ 4 to 5 groups
REMINDERS
For the meantime, we are conducting classes through Google Meet.
But we will migrate to ODILO gradually.

ODILO is the official LMS platform of the CTU system.

Moving forward, ODILO + Canvas will be dually used by the college.

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