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A Pareto diagram is a variation of a histogram forcategorical data resulting from a quality control study.Each category represents a different type of product non-conformity or production problem. The categories areordered so that the one with the largest frequencyappears on the far left, then the category with the secondlargest frequency, and so on. Suppose the following information on nonconformities in circuit packs isobtained: failed component, 126; incorrect component,210; insufficient solder, 67; excess solder, 54; missingcomponent, 131. Construct a Pareto diagram.

Short Answer

Expert verified

The frequenciesof occurrence, according to problem categories are provided which helps in designing the Pareto Chart. These four categories are given in the accompanying table:

Category

Frequency

failed component

126

incorrect component

210

insufficient solder

67

excess solder

54

missingcomponent

131

Step by step solution

01

Given information

The frequenciesof occurrence, according to problem categories are provided which helps in designing the Pareto Chart. These four categories are given in the accompanying table:

Category

Frequency

failed component

126

incorrect component

210

insufficient solder

67

excess solder

54

missingcomponent

131

02

Construct Pareto Chart of Problem Categories.

Following are the steps to construct a dot-plot of cylinder observations:

  1. Order all the problem categories from smallest to largest.
  2. Open Minitab and enter the given data into the worksheet.
  3. Choose Stat and select 鈥淨uality Tools鈥. Under quality tools select 鈥淧areto Chart鈥.
  4. Double click on C1 category to specify it in defects or attribute data. Similarly, Double click on C2 category to specify it in Frequency.
  5. All other values remain same and then click 鈥淥k鈥.

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Most popular questions from this chapter

A study carried out to investigate the distribution of total braking time (reaction time plus accelerator-to-brake movement time, in ms) during real driving conditions at 60 km/hr gave the following summary information on the distribution of times (鈥淎 Field Study on Braking Responses During Driving,鈥 Ergonomics, 1995: 1903鈥1910):

mean= 535 median=500 mode=500

sd=96 minimum=220 maximum=925

5th percentile=400 10th percentile=430

90th percentile =640 95th percentile= 720

What can you conclude about the shape of a histogram of this data? Explain your reasoning.

Blood pressure values are often reported to the nearest5 mmHg (100, 105, 110, etc.). Suppose the actual bloodpressure values for nine randomly selected individuals are

118.6 127.4 138.4 130.0 113.7 122.0 108.3131.5 133.2

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The article 鈥淒etermination of Most RepresentativeSubdivision鈥 (J. of Energy Engr., 1993: 43鈥55) gavedata on various characteristics ofsubdivisions that couldbe used in deciding whether to provide electrical powerusing overhead lines or underground lines. Here are thevalues of the variable x=total length of streets within asubdivision:

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3060

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2320

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3150

5700

5220

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2730

1670

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1890

510

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The propagation of fatigue cracks in various aircraft parts has been the subject of extensive study in recent years. The accompanying data consists of propagation lives(flight hours/\({\bf{1}}{{\bf{0}}^{\bf{4}}}\)) to reach a given crack size in fastener holes intended for use in military aircraft (鈥淪tatistical Crack Propagation in Fastener Holes Under Spectrum Loading,鈥 J. Aircraft,1983: 1028鈥1032):

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