EMET 350
Chapter 5
Part II
(Continuation)
Process in Control
Process is in a state of control when assignable causes have been eliminated
from the region beyond the process upper and lower control limits
For a process which is in control, approximately 34

EMET 350
Chapter 5
Control Charts for Variables
(Based on ANSI/ASQC B1-B3 1996)
Control Charts for Variables
Variation
It is an accepted law of nature that no two items in any category are ever alike
While variations among items may be very small they wi

Chapter 4
Part 2
Fundamentals of Statistics
Measures of Dispersion
Previous section focused on techniques for describing the central tendency of
a data set
This section focuses on a second tool of statistics composed of the measures
of dispersion which de

EMET 350
Fundamentals of Statistics
Chapter 4
Part 1
Fundamentals of Statistics
Statistics is defined by two distinct phases:
1. Descriptive or deductive statistics objective is to describe & analyze a
subject or group
2. Inductive statistics objective is

EMET 350
Chapter 3 (Parts of Ch. 2)
Total Quality Management Tools &
Techniques
Quality & Total Quality Management
Quality is commonly thought of as a measure of the excellence of a product
or service
Quality is considered excellent when the product or se

EMET 350
Chapter 9
Lot-by-Lot Acceptance Sampling by
Attributes
(Based on ANSI/ASQ S2 1995)
Lot-by-Lot Acceptance Sampling by Attributes
Lot-by-lot acceptance sampling involves the removal of a predetermined number
of samples from a lot which are then ins

EMET 350
Chapter 8
Control Charts for Attributes
(Chapter based on ANSI/ASQc B1-B3-1966)
Control Charts for Attributes
Attribute refers to those quality characteristics that either do or do not
conform to specifications (pass or fail)
Attributes are used

EMET 350
Chapter 7
Fundamentals of Probability
Fundamentals of Probability
Probability can be defined in the following manner:
If an event A can occur with NA outcomes out of a total of N possible &
equally likely outcomes, then the probability that the e

EMET 350
Chapter 6
Additional SPC Techniques for
Variables
Additional SPC Techniques for Variables
Up to this point we have dealt with statistical process control which has
concentrated on long production runs of discrete parts
This chapter presents infor

EMET 350
Chapter 11
Homework
165
165
See example problem on p. 474 for explanation
8 (r = 8)
P(7 or less) = P(7) + .+ P(0)
where P(c) taken from Poisson
distribution eq. (p. 291)
p. 479
= 0.1 ,
p. 483
from Table 11-4 would be B-3

EMET 350
Chapter 9
Homework
p. 370
p. 370;
(Lot accepted only if total of 1st & 2nd sample nonconformances does not exceed C2 = 6)
(3 + 3 = 6)
(4 + 2 = 6)
(5 + 1 = 6)
(Values in parentheses from Table C for np & C = 3)
Eq. (1) orTable C (values)
Probabili

EMET 350
Chapter 8
Homework
P-chart
LCL
UCL
LCL
UCL
Alternative approach would be to use the np chart for which:
npo = 50(0.076) = 3.8
UCL = npo + 3[npo (1- po)]1/2 = 9.4
LCL = npo + 3[npo (1- po)]1/2 = -1.8 0
Therefore, since 3.8 < 9.4 process in control

EMET 350
Chapter 7
Homework
one
161,700
(p. 289)
Based on criteria found on p. 309 in text, Poisson can be used to approximate
hypergeometric distribution (intended for finite lot size of N) when n/N 0.10. In this case,
n/N (=3/15=0.20) > 0.10 so must use

EMET 350
Chapter 6
Homework - Part II
270
Fig. 6-14, p. 272
6 - 19
6 19 continued
6 19 continued
6 19 continued
(see p. 278)
(see p. 279)
Problem 6-21 (b)
n=
X1
24.97
25.08
25.03
Tgt X-bar=
X2
25.01
25.06
25.04
25
X4
X-bar
24.99333
25.08
25.01667
X3
25
25

EMET 350
Chapter 6
Homework (Part I)
(p. 191)
(p. 256)
6 = (USL LSL) / Cp (but Cp = 1)
(p. 261)
6-7
(see p. 262)
6-9
(p. 514)
Z (bar) chart out of control due
to point z = +1.6
6 - 11
p. 268)

EMET 350
Chapter 4
Homework
1a.
0.86
4a.
(34.6)(8.20)=284 (283.72 rounded to 3 significant figures)
For multiplication answer has significant figures of number with least
7. .
7
Range, R = 6.05-5.94
23
24
R = 0.11
20
20
17
16 17
16
Cell Interval, i :
i=R/

Name _Dan Lyons_
EMET Test # 3, Section _
Instructions:
Complete problems 7-8 using the case study in the test #3 Angel folder
Diagrams for problems 7-10 may be completed in Minitab, Excel, Word, Power Point and/or by hand. Pareto
charts and Cause and E