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Defects in graphite shafts. Over the last year, a company that manufactures golf clubs has received numerous com- plaints about the performance of its graphite shafts and has lost several market share percentage points. In response, the company decided to monitor its shaft production process to identify new opportunities to improve its product. The process involves pultrusion. A fabric is pulled through a thermosetting polymer bath and then through a long heated steel die. As it moves through the die, the shaft is cured. Finally, it is cut to the desired length. Defects that can occur during the process are internal voids, broken strands, gaps between successive layers, and microcracks caused by improper curing. The company’s newly formed quality department sampled 10 consecutive shafts every 30 minutes, and nondestructive testing was used to seek
Shift Number | Number of Defective Shafts | Proportion of Defective Shafts |
1 | 9 | .05625 |
2 | 6 | .03750 |
3 | 8 | .05000 |
4 | 14 | .08750 |
5 | 7 | .04375 |
6 | 5 | .03125 |
7 | 7 | .04375 |
8 | 9 | .05625 |
9 | 5 | .03125 |
10 | 9 | .05625 |
11 | 1 | .00625 |
12 | 7 | .04375 |
13 | 9 | .05625 |
14 | 14 | .08750 |
15 | 7 | .04375 |
16 | 8 | .05000 |
17 | 4 | .02500 |
18 | 10 | .06250 |
19 | 6 | .03750 |
20 | 12 | .07500 |
21 | 8 | .05000 |
22 | 5 | .03125 |
23 | 9 | .05625 |
24 | 15 | .09375 |
25 | 6 | .03750 |
26 | 8 | .05000 |
27 | 4 | .02500 |
28 | 7 | .04375 |
29 | 2 | .01250 |
30 | 6 | .03750 |
31 | 9 | .05625 |
32 | 11 | .06875 |
33 | 8 | .05000 |
34 | 9 | .05625 |
35 | 7 | .04375 |
36 | 8 | .05000 |
Source: W. Kolarik. Creating Quality: Concepts. Systems, Strategies, and Tools. Copyright © 1995 by William J. Kolarik. Used by permission of William j. Kolarik.
out flaws in the shafts. The data from each 8-hour work shift were combined to form a shift sample of 160 shafts. Data on the proportion of defective shafts for 36 shift samples are presented in the table shown at the bottom of the previous column.
- a. Use the appropriate control chart to determine whether the process proportion remains stable over time.
- b. Does your control chart indicate that both common and special causes of variation are present? Explain.
- c. Data on the types of flaws identified are given in the table below. [Note: Each defective shaft may have more than one flaw.] To help diagnose the causes of variation in process output, construct a Pareto diagram for the types of shaft defects observed. Which are the “vital few”? The “trivial many"?
Type of Defect | Number of Defects |
Internal voids | 11 |
Broken strands | 96 |
Gaps between layer | 72 |
Microcracks | 150 |
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Chapter 13 Solutions
Statistics for Business and Economics, Student Value Edition (13th Edition)
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- please answer these questionsarrow_forwardSelon une économiste d’une société financière, les dépenses moyennes pour « meubles et appareils de maison » ont été moins importantes pour les ménages de la région de Montréal, que celles de la région de Québec. Un échantillon aléatoire de 14 ménages pour la région de Montréal et de 16 ménages pour la région Québec est tiré et donne les données suivantes, en ce qui a trait aux dépenses pour ce secteur d’activité économique. On suppose que les données de chaque population sont distribuées selon une loi normale. Nous sommes intéressé à connaitre si les variances des populations sont égales.a) Faites le test d’hypothèse sur deux variances approprié au seuil de signification de 1 %. Inclure les informations suivantes : i. Hypothèse / Identification des populationsii. Valeur(s) critique(s) de Fiii. Règle de décisioniv. Valeur du rapport Fv. Décision et conclusion b) A partir des résultats obtenus en a), est-ce que l’hypothèse d’égalité des variances pour cette…arrow_forwardAccording to an economist from a financial company, the average expenditures on "furniture and household appliances" have been lower for households in the Montreal area than those in the Quebec region. A random sample of 14 households from the Montreal region and 16 households from the Quebec region was taken, providing the following data regarding expenditures in this economic sector. It is assumed that the data from each population are distributed normally. We are interested in knowing if the variances of the populations are equal. a) Perform the appropriate hypothesis test on two variances at a significance level of 1%. Include the following information: i. Hypothesis / Identification of populations ii. Critical F-value(s) iii. Decision rule iv. F-ratio value v. Decision and conclusion b) Based on the results obtained in a), is the hypothesis of equal variances for this socio-economic characteristic measured in these two populations upheld? c) Based on the results obtained in a),…arrow_forward
- Linear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning
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