Date Pages
Topics
Homework due
Notes
8/27 1-11 Syllabus & Introduction
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8/29 12-27 Diagrams, densities, distributions
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9/1 27-44 Descriptive Measures
2.2 .4, .16
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9/3 H/O 1 Introduction to MiniTab
2.28, .38
note: free demo, rentals
9/5 51-77 Probability I
2.60, .64
use minitab
9/8 77-90 Conditional Probability
3.10, .20, .34
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9/10 90-98 Expectations & Decisions
3.80
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9/12 --- Review and
problem session
3.112, .114
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9/15 --- Quiz #1
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open book/notes
9/17 99-119 Binomial & Hypergeometric
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9/19 119-129 Chebyshev & Poisson
4.22, .24
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9/22 129-134 Geometric & Multinomial
4.38, .44
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9/24 142-161 Continuous variables; Normal
4.72
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9/26 161-173 Other continuous densities
5.10, .24, .38
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9/29 188-192 Checking for Normal
5.64, .68
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10/1 ---
Review
5.100, .122
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10/3 --- Quiz
# 2
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open notes/book
10/6 199-220 Sampling
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Now we begin
10/8 221-239 Estimation
6.30, .36
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10/10 241-252 Tests of one mean
7.30
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10/15 255-265 Tests of two means
7.40, .48
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10/17 268-269 Design Issues
7.66
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10/20 274-281 Tests of variances
7.80, .84
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10/22 284-298 Tests on proportions
8.10, .22
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10/24 304-305 Goodness of Fit - Chi-squared
9.24, .32
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10/27 --- Review
9.42, .48
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10/29 --- Quiz
# 3
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open book/notes
10/31 500-506 Introduction to Quality
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Happy Holloween
11/3 509-516 Control Charts I
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11/5 516-525 Control Charts II; Tolerances
14.2
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11/7 526-534 Acceptance Sampling
14.14
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11/10 Lab 1 Control & Expectation
14.38
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11/12 540-548 Reliability
Lab 1
report by team
11/14 550-558 Exponential & weibull models
15.10
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11/17 330-344 Linear Regression
15.14
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11/19 350-355 Curvilinear Regression
11.2, .4
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11/21 355-361 Multiple Regression
11.24
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11/24 366-374 Correlation
11.34
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12/1 388-402 ANOVA
11.46
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12/3 414-416 Multiple Comparisons
12.4
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12/5 438-447 Factorial Designs
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12/8 ---
Review
13.26
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12/16 ---
Final Exam
2:30-4:30 p.m.
Open book/notes
Grading will be approximately 90-80-70-60, never tighter. Tests will
count 50 points each and
provide the 200 points possible. The Lab will be graded and done by
team. It will be worth 10
points and be considered extra credit. Homework will not be collected
or graded; these are the
problems similar to test questions and will be discussed in detail as shown.
The objective of this course is to provide an introduction to the statistical
analysis of quality
issues. The major emphasis is on providing the student with a set of
tools to be used in
appropriate situations as well as knowledge of when the tools are insufficient.
Application to real
problems will be stressed. Detailed objectives may be found on the
department web-site.
The above schedule and procedures are subject to change in the event of
extenuating
circumstances. Any student with difficulty in meeting these requirements
should contact the
instructor as soon as possible for an attempt to resolve the difficulty.
The student is expected to have met the published pre-requisites for this
course. A student who
has not met the pre-requisites should immediately contact their academic advisor.