Exam 14: Statistical Methods for Quality Control
Exam 1: Data and Statistics84 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Presentations116 Questions
Exam 3: Descriptive Statistics: Numerical Measures130 Questions
Exam 4: Introduction to Probability127 Questions
Exam 5: Discrete Probability Distributions146 Questions
Exam 6: Continuous Probability Distributions138 Questions
Exam 7: Sampling and Sampling Distributions123 Questions
Exam 8: Interval Estimation111 Questions
Exam 9: Hypothesis Tests117 Questions
Exam 10: Comparisons Involving Means, Experimental Design, and Analysis of Variance184 Questions
Exam 11: Comparisons Involving Proportions and a Test of Independence117 Questions
Exam 12: Simple Linear Regression107 Questions
Exam 13: Multiple Regression111 Questions
Exam 14: Statistical Methods for Quality Control72 Questions
Exam 15: Time Series Analysis and Forecastng75 Questions
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Control charts that are based on data indicating the presence of a defect or the number of defects are called ______ control charts.
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(Multiple Choice)
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If the value of c in a single-stage sampling plan is increased, with n remaining constant, the probability of accepting the lot
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An acceptance sampling plan uses a sample of 18 with an acceptance criterion of zero. Determine the probability of accepting shipments that contain 5, 10, 15, 20, 25, 30, 35, 40, and 45% defective units.
(Essay)
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The quality control department of a company has decided to select a sample of 10 items from the shipments received; and if the sample contains no defective parts, the entire shipment will be accepted.
a.If there are 40 defective items in a shipment, what is the probability that the entire lot will be accepted?
b.Use the binomial table and read the probability of accepting lots that contain 5, 10, 15, 20, 25, 30, 35, 40, 45, and 50% defective units.
(Essay)
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Ledd Electronics has received a large shipment of power supply units for the desktop computers being assembled. The units are coming from a new supplier and Ledd is not sure what the actual defect rate will be for this component. Ledd is considering an acceptance sampling plan with n = 30 and c = 1.
a. Find the probability of accepting a lot when the defect rate is 2%, 4%, and 6%.
b. What happens to the producer's risk as the defect rate increases?
c. What happens to the consumer's risk as the defect rate increases?
(Essay)
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Process control and acceptance sampling procedures are most closely related to
(Multiple Choice)
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If the value of c in a single-stage acceptance sampling plan is increased, with n remaining constant, the probability of accepting the lot
(Multiple Choice)
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In acceptance sampling, the risk of rejecting a good quality lot is known as
(Multiple Choice)
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A statistical procedure in which the number of defective items found in a sample is used to determine whether a lot should be accepted or rejected is called
(Multiple Choice)
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The maximum number of defective items that can be found in the sample and still lead to acceptance of the lot is
(Multiple Choice)
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A production process is considered in control if 6% of the items produced are defective. Samples of size 300 are used for the inspection process.
a.Determine the standard error of the proportion.
b.Determine the upper and the lower control limits for the p chart.
(Essay)
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The three quality processes on which Juran's approach to quality focused include all of the following except
(Multiple Choice)
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In acceptance sampling, the risk of accepting a poor quality lot is known as
(Multiple Choice)
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The entire system of policies, procedures, and guidelines established by an organization to achieve and maintain quality is called
(Multiple Choice)
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The control limits for an np chart are how many standard deviations above and below the expected number of defectives?
(Multiple Choice)
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A production process that is in control has a mean () of 80 and a standard deviation () of 10.
a.Determine the upper and the lower control limits for sample sizes of 25.
b.Five samples had means of 81, 84, 75, 83, and 79. Construct an x-bar chart and explain whether or not the process is in control.
(Short Answer)
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A soft drink filling machine is set up to fill bottles with 12 ounces of soft drink. The standard deviation s is known to be 0.4 ounces. The quality control department periodically selects samples of 16 bottles and measures their contents. Assume the distribution of filling volumes is normal.
a.Determine the upper and lower control limits and explain what they indicate.
b.The means of six samples were 11.8, 12.2, 11.9, 11.9, 12.1, and 11.8 ounces. Construct an x-bar chart and indicate whether or not the process is in control.
(Short Answer)
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