Question: Problem Ayol manager any copy 9. variation in the deyes and 12 days with motivates Day beson Defeste efecte D 011 2 2 4 3

Problem Ayol manager any copy 9. variation in the
Problem Ayol manager any copy 9. variation in the
Problem Ayol manager any copy 9. variation in the
Problem Ayol manager any copy 9. variation in the
Problem Ayol manager any copy 9. variation in the
Problem Ayol manager any copy 9. variation in the
Problem Ayol manager any copy 9. variation in the deyes and 12 days with motivates Day beson Defeste efecte D 011 2 2 4 3 6 14 011 0. al Calculate the mean fraction of defectives on the same b) Calculate the standard deviation of mean a wawe the sigma control for this d) Graph the data c) is the process in control according to the corris Why Answer: a) Mean Fraction b) Standard Deviation of the Mean Fraction a Control Limits UCL LCL d) Graph Problem 1 Agaty control manager at a company 99.73% of the random with daw he collects a sample of data with 25 fortas 12 days indicate the following number of een in con Day Number of faction Detective 0000 0222 3 111 111 a) Calculate the mean fraction of defectives on the samples Calculate the standard deviation et mention What are the sigma control for this process Graphitheata is the process in control according to the control why or why Answers a) Mean Fraction b) Standard Deviation of the Mean Fraction c) Control Limits UCL LCL d) Graph Samges Problem 1 A quality control manager at a Battery companywants to set controllimits to include 99.73% of the random variation in the data entry process when it is in control. Each day, he collects a sample of data with n=25 size for 8 days. Data from the previous 12 days indicate the following number of defective batteries: Day 1 2 3 4 5 6 7 8 Number of Fraction of Defective Defective 0 0.000 2 0.111 4 0.222 1 0.056 2 0.111 2 0.111 1 0.056 6 0.333 0 0 a) Calculate the mean fraction of defectives batteries in the samples b) Calculate the standard deviation of mean fraction. c) What are the 3-sigma control limits for this process? d) Graph the data e) Is the process in control, according to the control limits? Why or why not? Answer: a) Mean Fraction b) Standard Deviation of the Mean Fraction c) Control Limits UCL LCL d) Graph 4 Samples e) Problem 1 A quality control manager at a Battery companywants to set control limits to include 99.73% of the random variation in the data entry process when it is in control. Each day, he collects a sample of data with n=25 size for 8 days. Data from the previous 12 days indicate the following number of defective batteries: Day 1 2 3 4 5 6 7 8 Number of Fraction of Defective Defective 0 0.000 2 0.111 4 0.222 1 0.056 2 0.111 2 0.111 1 0.056 6 0.333 0 000 a) Calculate the mean fraction of defectives batteries in the samples b) Calculate the standard deviation of mean fraction. c) What are the 3-sigma control limits for this process? d) Graph the data e) Is the process in control, according to the control limits? Why or why not? Answer: a) Mean Fraction b) Standard Deviation of the Mean Fraction c) Control Limits UCL LCL d) Graph 5 6 4 Samples Problem Ayol manager any copy 9. variation in the deyes and 12 days with motivates Day beson Defeste efecte D 011 2 2 4 3 6 14 011 0. al Calculate the mean fraction of defectives on the same b) Calculate the standard deviation of mean a wawe the sigma control for this d) Graph the data c) is the process in control according to the corris Why Answer: a) Mean Fraction b) Standard Deviation of the Mean Fraction a Control Limits UCL LCL d) Graph Problem 1 Agaty control manager at a company 99.73% of the random with daw he collects a sample of data with 25 fortas 12 days indicate the following number of een in con Day Number of faction Detective 0000 0222 3 111 111 a) Calculate the mean fraction of defectives on the samples Calculate the standard deviation et mention What are the sigma control for this process Graphitheata is the process in control according to the control why or why Answers a) Mean Fraction b) Standard Deviation of the Mean Fraction c) Control Limits UCL LCL d) Graph Samges Problem 1 A quality control manager at a Battery companywants to set controllimits to include 99.73% of the random variation in the data entry process when it is in control. Each day, he collects a sample of data with n=25 size for 8 days. Data from the previous 12 days indicate the following number of defective batteries: Day 1 2 3 4 5 6 7 8 Number of Fraction of Defective Defective 0 0.000 2 0.111 4 0.222 1 0.056 2 0.111 2 0.111 1 0.056 6 0.333 0 0 a) Calculate the mean fraction of defectives batteries in the samples b) Calculate the standard deviation of mean fraction. c) What are the 3-sigma control limits for this process? d) Graph the data e) Is the process in control, according to the control limits? Why or why not? Answer: a) Mean Fraction b) Standard Deviation of the Mean Fraction c) Control Limits UCL LCL d) Graph 4 Samples e) Problem 1 A quality control manager at a Battery companywants to set control limits to include 99.73% of the random variation in the data entry process when it is in control. Each day, he collects a sample of data with n=25 size for 8 days. Data from the previous 12 days indicate the following number of defective batteries: Day 1 2 3 4 5 6 7 8 Number of Fraction of Defective Defective 0 0.000 2 0.111 4 0.222 1 0.056 2 0.111 2 0.111 1 0.056 6 0.333 0 000 a) Calculate the mean fraction of defectives batteries in the samples b) Calculate the standard deviation of mean fraction. c) What are the 3-sigma control limits for this process? d) Graph the data e) Is the process in control, according to the control limits? Why or why not? Answer: a) Mean Fraction b) Standard Deviation of the Mean Fraction c) Control Limits UCL LCL d) Graph 5 6 4 Samples

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