Question

QUESTION 20 Five samples of size 12 were collected. The data are provided in the following...

QUESTION 20 Five samples of size 12 were collected. The data are provided in the following table:

Sample number 1 2 3 4 5

Sample mean 4.80 4.62 4.81 4.55 4.92

Sample standard deviation 0.30 0.33 0.31 0.32 0.37

The upper control limit (UCL) and lower control limit (LCL) for an s-chart are:

1.LCL = 0.0971, UCL = 0.5868.

2.LCL = 0.1154, UCL = 0.5366.

3.LCL = 0.1011, UCL = 0.6109.

4.LCL = 0.1034, UCL = 0.6246.

5.LCL = 0.0994, UCL = 0.6006.

Homework Answers

Answer #1

I will try to draw the x-bar chart and s-charts.

So, for s-chart:

LCL = 0.115

UCL = 0.537

So, the best option is option 2 - LCL = 0.1154, UCL = 0.5366. This is also explained by the formulae used as shown below:

Formulae used:

x-bar chart:

s chart:

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Random samples of size n = 410 are taken from a population with p = 0.09....
Random samples of size n = 410 are taken from a population with p = 0.09. Calculate the centerline, the upper control limit (UCL), and the lower control limit (LCL) for the p¯p¯ chart. (Round the value for the centerline to 2 decimal places and the values for the UCL and LCL to 3 decimal places.) Calculate the centerline, the upper control limit (UCL), and the lower control limit (LCL) for the p¯p¯ chart if samples of 290 are used....
Random samples of size n = 200 are taken from a population with p = 0.08....
Random samples of size n = 200 are taken from a population with p = 0.08. a. Calculate the centerline, the upper control limit (UCL), and the lower control limit (LCL) for the p¯chart b. Calculate the centerline, the upper control limit (UCL), and the lower control limit (LCL) for the p¯ chart if samples of 120 are used. c. Discuss the effect of the sample size on the control limits. The control limits have a ___ spread with smaller...
Random samples of size n= 400 are taken from a population with p= 0.15. a.Calculate the...
Random samples of size n= 400 are taken from a population with p= 0.15. a.Calculate the centerline, the upper control limit (UCL), and the lower control limit (LCL) for the p chart. b.Suppose six samples of size 400 produced the following sample proportions: 0.06, 0.11, 0.09, 0.08, 0.14, and 0.16. Is the production process under control?
Twelve​ samples, each containing five​ parts, were taken from a process that produces steel rods at...
Twelve​ samples, each containing five​ parts, were taken from a process that produces steel rods at Emmanual​ Kodzi's factory. The length of each rod in the samples was determined. The results were tabulated and sample means and ranges were computed. Refer to Table S6.1 - Factors for computing control chart limits (3 sigma) for this problem. Sample ​Size, n Mean​ Factor, A2 Upper​ Range, D4 Lower​ Range, D3 2 1.880 3.268 0 3 1.023 2.574 0 4 0.729 2.282 0...
Twenty-five samples, each consisting of 150 loan applications at a bank resulted in a total of...
Twenty-five samples, each consisting of 150 loan applications at a bank resulted in a total of 22 applications that had some type of error. Round your answer to 5 digits after the decimal point if it is not an integer. Do NOT use comma in your numeric answers. Sample size is ______ Number of samples is .________ When constructing a p chart the center line should be .________ ESD(p) equals ._______ The upper control limit (UCL) should be .________ The...
Twenty-five samples of 100 items each were inspected when a process was considered to be operating...
Twenty-five samples of 100 items each were inspected when a process was considered to be operating satisfactorily. In the 25 samples, a total of 185 items were found to be defective. (a) What is an estimate of the proportion defective when the process is in control? (b) What is the standard error of the proportion if samples of size 100 will be used for statistical process control? (Round your answer to four decimal places.) (c) Compute the upper and lower...
Edit question The results of inspection of samples of a product taken over the past 5...
Edit question The results of inspection of samples of a product taken over the past 5 days are given below. Sample size for each day has been 100: Day        1             2             3             4             5 Defectives           2             6             14           3             7 Determine the UCL for this chart Determine the LCL for this chart Is this process in control?
Chapter 8, Problem 38 Incorrect. Samples of size n=6 are collected from a process every hour....
Chapter 8, Problem 38 Incorrect. Samples of size n=6 are collected from a process every hour. After 20 samples have been collected, we construct the control chart with σ=1.40, UCL = 21 and LCL=18. Suppose that the mean shifts to 18.5. (a) What is the probability that this shift will be detected on the next sample? Round your answer to four decimal places (e.g. 98.7654). (b) What is the ARL after the shift? Round your answer to three decimal places...
Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart...
Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart for control. The samples and the number of defectives in each are shown in the following table: SAMPLE n NUMBER OF DEFECTIVE ITEMS IN THE SAMPLE 1 15 2 2 15 2 3 15 2 4 15 0 5 15 2 6 15 1 7 15 3 8 15 2 9 15 1 10 15 3 a. Determine the p−p− , Sp, UCL and...
Based on your recommendations, Mr. Miller improved shop operations and successfully reduced the number of customer...
Based on your recommendations, Mr. Miller improved shop operations and successfully reduced the number of customer complaints. To maintain good service, Mr. Miller asked you to keep monitoring the wait times of oil change customers at the shop. First, you decide to create an x-bar chart to monitor the central tendency (i.e., mean). But you know that we sometimes overlook a problem if we use only an x-bar chart. Therefore, you decide to create an R-chart to monitor the process...