Manufacturer who would be at advantage if the plan were adopted. Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

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Chapter 12, Problem 60AP

Summary Introduction

Interpretation:

Manufacturer who would be at advantage if the plan were adopted.

Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

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In the past, Alpha Corporation has not performed incoming quality control inspections but has taken the word of its vendors. However, Alpha has been having some unsatisfactory experience recently with the quality of purchased items and wants to set up sampling plans for the receiving department to use. For a particular component, X, Alpha has a lot of tolerance percentage defective of 10 percent. Zenon Corporation, from which Alpha purchases this component, has an acceptable quality level in its production facility of 3 percent for component X. Alpha hasa consumer’s risk of 10 percent and Zenon has a producer’s risk of 5 percent.a. When a shipment of product X is received from Zenon Corporation, what sample size should the receiving department test?b. What is the allowable number of defects in order to accept the shipment?

In a sausage factory, quality managers are studying the compliance of the sausages with the requirements. Any sausage having pin holes, air pockets, deformation or breakage in its casings is counted as defective and total number of such defective sausages alone is noted in each shift. The following data represents the number of defective sausages in samples of 200 sausages taken from 10 shifts. Sample Defectives Percent Defective 1 40 20% 2 28 14% 3 15 8% 4 23 (a) 5 20 10% 6 21 11% 7 19 10% 8 15 8% 9 16 8% 10 17 9% Calculate the value for (a) in the table above. Calculate p-bar based on the samples above. What is the UCL and LCL for a p chart based on the data provided and a desired control level of 99.74%? Use your control limits from part b along with the data provided to draw a p-chart. Is the process in control? Why or why not? If not in control, suggest some potential reasons.

Using samples of 200 credit card statements, an auditor found the following: Sample 1 2 3 4 Number with errors 4 2 5 9 a. Determine the fraction defective in each sample. b. If the true fraction defective for this process is unknown, what is your estimate of it? c. What is your estimate of the mean and standard deviation of the sampling distribution of fractions defective for samples of this size? d. What control limits would give an alpha risk of .03 for this process? Page 457 e. What alpha risk would control limits of .047 and .003 provide? f. Using control limits of .047 and .003, is the process in control? g. Suppose that the long-term fraction defective of the process is known to be 2 percent. What are the values of the mean and standard deviation of the sampling distribution? h. Construct a control chart for the process, assuming a fraction defective of 2 percent, using two-sigma control limits. Is the process in control? Can you show me the steps and formulas using excel

Answer 2

Question

Chapter 12, Problem 60AP

Summary Introduction

Interpretation:

Manufacturer who would be at advantage if the plan were adopted.

Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

Expert Solution & Answer

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Answer 3

Question

Chapter 12, Problem 60AP

Summary Introduction

Interpretation:

Manufacturer who would be at advantage if the plan were adopted.

Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

Expert Solution & Answer

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Answer 4

Question

Chapter 12, Problem 60AP

Summary Introduction

Interpretation:

Manufacturer who would be at advantage if the plan were adopted.

Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

Expert Solution & Answer

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Check out a sample textbook solution

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Answer 5

Chapter 12, Problem 60AP

Summary Introduction

Interpretation:

Manufacturer who would be at advantage if the plan were adopted.

Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

Answer 6

Chapter 12, Problem 60AP

Summary Introduction

Interpretation:

Manufacturer who would be at advantage if the plan were adopted.

Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

Answer 7

Chapter 12, Problem 60AP

Summary Introduction

Interpretation:

Manufacturer who would be at advantage if the plan were adopted.

Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

Answer 8

Expert Solution & Answer

Answer 9

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Answer 10

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Answer 11

Ch. 12.1 - Prob. 2P Ch. 12.1 - Prob. 3P Ch. 12.1 - Prob. 4P Ch. 12.1 - Prob. 5P Ch. 12.1 - Prob. 6P Ch. 12.2 - Prob. 7P Ch. 12.2 - Prob. 8P Ch. 12.2 - Prob. 9P Ch. 12.2 - Prob. 10P Ch. 12.2 - Prob. 11P

Manufacturer who would be at advantage if the plan were adopted. Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

Solution Summary: The author explains Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

Concept explainers

Interpretation:

Manufacturer who would be at advantage if the plan were adopted.

Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

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Chapter 12 Solutions

Manufacturer who would be at advantage if the plan were adopted. Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

Solution Summary: The author explains Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

Concept explainers

Interpretation: Manufacturer who would be at advantage if the plan were adopted. Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.

Want to see the full answer?

Chapter 12 Solutions

Interpretation:

Manufacturer who would be at advantage if the plan were adopted.

Concept Introduction: Poisson distribution is the probability distribution of discrete random variable series in which frequency of outcomes is calculated in a given period of time.