s Chart: In this section we described control charts for R and x based on ranges. Control charts for monitoring variation and center (mean) can also be based on standard deviations. An s chart for monitoring variation is constructed by plotting sample standard deviations with a centerline at s (the mean of the sample standard deviations) and control limits at B4s and B3s,where B4and B3 are found in Table 14-2 on page 660 in this section. Construct an s chart for the data of Table 14-1 on page 655. Compare the result to the R chart given in Example 3 “R Chart of Altimeter Errors.”

Short Answer

Expert verified

The s-chart is:

The referred R-chart is following the same pattern as the s-chart with different scale of observations.

Step by step solution

01

Given information

Refer to the table 14-1 is taken to construct the s-chart.

Day

S

1

4.02

2

5.18

3

2.07

4

3.91

5

5.03

6

10.18

7

5.55

8

12.72

9

12.71

10

15.76

11

12.86

12

6.69

13

13.13

14

11.37

15

17.42

16

22.99

17

26.73

18

16.47

19

12.19

20

28.5

02

Step 2:Define a s-chart

S-chart contains a sequential mapping of sample standard deviation measure over time.It includes three values:

  • Centerline\(\left( {\bar s} \right)\): mean of all sample standard deviation.
  • Lower control limit (LCL)
  • Upper control limit (UCL)

From the given values of sample standard deviation, the mean for sample standard deviation is computed as,

\(\begin{array}{c}\bar s = \frac{{\sum s }}{{{\rm{Number}}\;{\rm{of}}\;{\rm{days}}}}\\ = \frac{{4.02 + 5.18 + ... + 28.5}}{{20}}\\ = 12.274\end{array}\)

Thus, the centerline of the s-chart is 12.274.

The upper and lower control limits are computed as,

\(\begin{array}{l}L.C.L = {B_3}\bar s\\U.C.L = {B_4}\bar s\end{array}\)

The values of control limits constant is taken from table 14-2 (control tables constant) as\({B_4} = 2.089,\;{B_3} = 0\).

Thus, the values are:

\(\begin{array}{c}L.C.L = 0\left( {12.274} \right)\\ = 0\\U.C.L = 2.089\left( {12.274} \right)\\ = 25.640\end{array}\)

03

Sketch the s-chart

Steps to construct the s-chart are:

  1. Draw two axis with horizontal axis scaled for days and vertical axis scaled for sample standard deviation.
  1. Mark the sample standard deviation measure corresponding to days using dots and connect each consecutive using a line segment.
  1. Draw three horizontal lines as centerline, U.C.L and L.C.L parallel to the horizontal axis.

Thus, the s-chart is described as follows:

04

Compare to R-chart

Refer to R-chart from example 3 for altimeter errors, which has the following measure of centerline, lower control limit and upper control limit:

\(\begin{array}{c}\bar R = 30.65\\U.C.L = 64.79\\L.C.L = 0\end{array}\)

It is observed that the pattern of R-chart is almost same as the s-chart expressed above, though the reference scale for the observations are different.

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Most popular questions from this chapter

Energy Consumption. Exercises 1–5 refer to the amounts of energy consumed in the author’s home. (Most of the data are real, but some are fabricated.) Each value represents energy consumed (kWh) in a two-month period. Let each subgroup consist of the six amounts within the same year. Data are available for download atwww.TriolaStats.com.


Jan.-Feb.

Mar.-April

May-June

July-Aug.

Sept.-Oct.

Nov.-dec.

Year 1

3637

2888

2359

3704

3432

2446

Year 2

4463

2482

2762

2288

2423

2483

Year 3

3375

2661

2073

2579

2858

2296

Year 4

2812

2433

2266

3128

3286

2749

Year 5

3427

578

3792

3348

2937

2774

Year 6

4016

3458

3395

4249

4003

3118

Year 7

4016

3458

3395

4249

4003

3118

Year 8

4016

3458

3395

4249

4003

3118

Energy Consumption: R Chart Let each subgroup consist of the 6 values within a year. Construct an R chart and determine whether the process variation is within statistical control. If it is not, identify which of the three out-of-control criteria lead to rejection of statistically stable variation

Service Times The Newport Diner records the times (min) it takes before customers are asked for their order. Each day, 50 customers are randomly selected, and the order is considered to be defective if it takes longer than three minutes. The numbers of defective orders are listed below for consecutive days. Construct an appropriate control chart and determine whether the process is within statistical control. If not, identify which criteria lead to rejection of statistical stability.

3 2 3 5 4 6 7 9 8 10 11 9 12 15 17

Quarters. In Exercises 9–12, refer to the accompanying table of weights (grams) of quarters minted by the U.S. government. This table is available for download at www.TriolaStats.com.

Day

Hour 1

Hour 2

Hour 3

Hour 4

Hour 5

\(\bar x\)

s

Range

1

5.543

5.698

5.605

5.653

5.668

5.6334

0.0607

0.155

2

5.585

5.692

5.771

5.718

5.72

5.6972

0.0689

0.186

3

5.752

5.636

5.66

5.68

5.565

5.6586

0.0679

0.187

4

5.697

5.613

5.575

5.615

5.646

5.6292

0.0455

0.122

5

5.63

5.77

5.713

5.649

5.65

5.6824

0.0581

0.14

6

5.807

5.647

5.756

5.677

5.761

5.7296

0.0657

0.16

7

5.686

5.691

5.715

5.748

5.688

5.7056

0.0264

0.062

8

5.681

5.699

5.767

5.736

5.752

5.727

0.0361

0.086

9

5.552

5.659

5.77

5.594

5.607

5.6364

0.0839

0.218

10

5.818

5.655

5.66

5.662

5.7

5.699

0.0689

0.163

11

5.693

5.692

5.625

5.75

5.757

5.7034

0.0535

0.132

12

5.637

5.628

5.646

5.667

5.603

5.6362

0.0235

0.064

13

5.634

5.778

5.638

5.689

5.702

5.6882

0.0586

0.144

14

5.664

5.655

5.727

5.637

5.667

5.67

0.0339

0.09

15

5.664

5.695

5.677

5.689

5.757

5.6964

0.0359

0.093

16

5.707

5.89

5.598

5.724

5.635

5.7108

0.1127

0.292

17

5.697

5.593

5.78

5.745

5.47

5.657

0.126

0.31

18

6.002

5.898

5.669

5.957

5.583

5.8218

0.185

0.419

19

6.017

5.613

5.596

5.534

5.795

5.711

0.1968

0.483

20

5.671

6.223

5.621

5.783

5.787

5.817

0.238

0.602

Quarters: \(\bar x\)-Chart Treat the 5 measurements from each day as a sample and construct an \(\bar x\)- chart. What does the result suggest?

Use the survey results given in Exercise 1 and use a 0.05 significance level to test the claim that the majority of adults learn about medical symptoms more often from the internet than from their doctor.

p Chart A variation of the control chart for p is the np chart, in which the actual numbers of defects are plotted instead of the proportions of defects. The np chart has a centerline value of \(n\bar p\), and the control limits have values of \(n\bar p + 3\sqrt {n\bar p\bar q} \)and\(n\bar p - 3\sqrt {n\bar p\bar q} \). The p chart and the np chart differ only in the scale of values used for the vertical axis. Construct the np chart for Example 1 “Defective Aircraft Altimeters” in this section. Compare the np chart to the control chart for p given in this section

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