Redox potential or ORP (for oxidation-reduction
potential) is a new method for assessing the efficacy of
disinfectants used in water treatment plants....

Redox potential or ORP (for oxidation-reduction
potential) is a new method for assessing the efficacy of
disinfectants used in water treatment plants. A case study
reports 31 daily measurements of chlorine and sulfur
dioxide used at a municipal wastewater treatment plant
in California.17 The chlorin...

Completed the following:
(a) Use the data of Exercise 2 in Section 13.3 and commands
similar to those in display (13.5.3) to construct
a CUSUM chart f...

Completed the following:
(a) Use the data of Exercise 2 in Section 13.3 and commands
similar to those in display (13.5.3) to construct
a CUSUM chart for the semiconductor wafer
diameter data. Comment on what the chart suggests
regarding the process mean.
(b) Use commands similar to those in the disp...

Let piston be the R object containing the 40 subgroups of the pistonrings data set
arranged into 40 rows of size 5 (see Example 13.2-2).
(a) Construct...

Let piston be the R object containing the 40 subgroups of the pistonrings data set
arranged into 40 rows of size 5 (see Example 13.2-2).
(a) Construct the CUSUM chart for the first 25 subgroups and the CUSUM chart
for all 40 subgroups using the first 25 subsamples as the calibration data. For
both c...

Unequal sample sizes. For simplicity, all control limits
presented in this chapter assume equal sample sizes.
However, R commands allow also for unequ...

Unequal sample sizes. For simplicity, all control limits
presented in this chapter assume equal sample sizes.
However, R commands allow also for unequal sample
sizes. The R data frame dyedcloth,15 available in the R
package qcc, consists of 10 counts, each representing the
total number of defects in...

The R data frame pcmanufact,14 available in the R
package qcc, consists of 20 counts, each representing the
total number of nonconformities in batches...

The R data frame pcmanufact,14 available in the R
package qcc, consists of 20 counts, each representing the
total number of nonconformities in batches of 5 computers
each. Construct a 3? c chart, with ? estimated from the
entire data set. Explain the difference between a c chart
and a u chart, and c...

The analysis of the R data set orangejuice in Example
13.4-1 revealed that the probability of a defective item
decreased after the adjustment followin...

The analysis of the R data set orangejuice in Example
13.4-1 revealed that the probability of a defective item
decreased after the adjustment following the 30th inspection
time point. To see if the smaller proportion of defectives
continues, 40 additional samples, each of size n = 50,
were taken. Th...

The R data frame circuit,13 available in the R package qcc, consists of 46 counts, each
representing the total number of nonconformities in batches of...

The R data frame circuit,13 available in the R package qcc, consists of 46 counts, each
representing the total number of nonconformities in batches of 100 printed circuit
boards. The first 26 samples were taken when the process was believed to be in
control. Construct a 3? c chart using the first 26...

The R data frame orangejuice,12 available in the R package qcc, consists of 54 samples
(rational subgroups), each of size n = 50, of orange juice cans...

The R data frame orangejuice,12 available in the R package qcc, consists of 54 samples
(rational subgroups), each of size n = 50, of orange juice cans collected at
half-hour intervals. Each can was inspected after filling to determine whether the
liquid could leak either at the side seam or around t...

The ?2 CI for ? given in (7.3.20) suggests a ?2-based
S chart. The 99.7% control limits of this chart, using the
?square root of the average of the k ...

The ?2 CI for ? given in (7.3.20) suggests a ?2-based
S chart. The 99.7% control limits of this chart, using the
?square root of the average of the k sample variances,(s =
(1/k)
1ki
=1 s2i
, as estimator of the in-control standard
deviation, are given by
LCL =(s
Q
?2
n?1,0.9985
n ? 1
and UCL =(s
Q
?...

A case study deals with semiconductor wafer diameter.
11 The data set, consisting of samples of size
2 that are taken from 20 lots, can be found in
Sq...

A case study deals with semiconductor wafer diameter.
11 The data set, consisting of samples of size
2 that are taken from 20 lots, can be found in
SqcSemicondDiam.txt. (a) Use commands similar to those given in Example
13.3-1 to construct an S and an R chart. Comment
on what these charts suggest ab...