Winston's assembly unit has decided to use a p-Chart with an a risk of 1% to monitor the proportion of defective metal shafts produced by their production process.The production manager randomly samples 200 metal shafts at 16 successively selected time periods and counts the number of defective metal shafts in the sample.TableStep 7 of 8: At the next time period, 200 metal shafts are sampled and 28 defective metal shafts are detected.AnswerControl ChartO In ControlO Out of ControlTablesCopy TableKeypadKeyboard ShortcutsPrevious step answersUpdated Control Chart Sample Defects123450169812121113778129111011118127131014 1315 71610The average of the selected cell(s) is9.000.Copy Value

The question is about statistical quality control.Given :Randomly selected no. of metal shafts ( n )…

Answered: Winston's assembly unit has decided to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Alabama's assembly unit has decided to use a p-Chart with an alpha risk of 3% to monitor the proportion of defective copper wires produced by their production process. The operations manager randomly samples 300 copper wires at 14 successively selected time periods and counts the number of defective copper wires in the sample. Answer How to enter your answer (opens in r Control Chart Step 2 of 8: What is the z-value associated with the level of significance stated in the problem? Round your answer to two decimal places. MASIN3A Select the Copy Table button to copy all values. To select an entire row or column, either click on the row or column header or use the Shift and arrow keys. To find the average of the selected cells, select the Average Values button. Sample Defects 1 2 4 Table 6 8 7 7 8 8 10 9 9 7 8 9 13 12 11 12 13 9 12 9 14 13 14 Copy Table Copy Table Average Values The average of the selected cell(s) is9.000. Copy Value x
Winston's assembly unit has decided to use a p-Chart with an a risk of 1% to monitor the proportion of defective metal shafts produced by their production process. The production manager randomly samples 200 metal shafts at 16 successively selected time periods and counts the number of defective metal shafts in the sample. Table Step 3 of 8: What is the Upper Control Limit? Round your answer to three decimal places. Answer How to ent Sample Defects 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 9 8 12 12 11 13 7 12 11 11 8 7 10 13 7 Control Chart 10 The average of the selected cell(s) is9.000. Copy Value X Copy Table Keypad ard Shortcuts step answers Control Chart mit Answer
William Industries has decided to use a p-Chart with 3-sigma control limits to monitor the proportion of defective bolts produced by their production process. The operations manager randomly samples 250 bolts at 14 successively selected time periods and counts the number of defective bolts in the sample. Table Step 3 of 8: What is the Upper Control Limit? Round your answer to three decimal places. Answer How to enter your answer (oper Control Chart and arrow keys. 10 Tina the average or the selected cells, select the Average values Dutton. Copy Table Average Values The average of the selected cell(s) is 12.000. Copy Value Sample Defects 1 2 3 4 5 6 7 8 9 10 11 12 13 14 12 13 13 14 12 8 7 11 7 10 9 12 13 10 Copy Tab C
Do larger universities tend to have more property crime? University crime statistics are affected by a variety of factors. The surrounding community, accessibility given to outside visitors, and many other factors influence crime rate. Let x be a variable that represents student enrollment (in thousands) on a university campus, and let y be a variable that represents the number of burglaries in a year on the university campus. A random sample of n = 8 universities in California gave the following information about enrollments and annual burglary incidents.x 12.3 28.6 24.5 14.3 7.5 27.7 16.2 20.1y 23 72 39 23 15 30 15 25 a) Compute r. (Round your answer to four decimal places.)
Refer to Exercise 3. In the last 50 samples, there were a total of 622 defective items. The largest number of defectives in any sample was 24, while the smallest number was 6. Is this enough information to determine whether the process was out of control at any time during the last 50 samples? If so, state whether or not the process was out of control. If not, state what additional information would be required to make the determination.
Do larger universities tend to have more property crime? University crime statistics are affected by a variety of factors. The surrounding community, accessibility given to outside visitors, and many other factors influence crime rate. Let x be a variable that represents student enrollment (in thousands) on a university campus, and let y be a variable that represents the number of burglaries in a year on the university campus. A random sample of n = 8 universities in California gave the following information about enrollments and annual burglary incidents. x 10.9 30.4 24.5 14.3 7.5 27.7 16.2 20.1 y 23 76 39 23 15 30 15 25 (a) Make a scatter diagram of the data. Then visualize the line you think best fits the data. A scatter diagram has a horizontal axis labeled "x (student enrollment (in thousands))" with values from 7.5 to 30.4 and a vertical axis labeled "y (annual number of burglaries)" with values from 15 to 76. The scatter diagram has 8 points. A pattern goes up and…
Prices of diamonds are very sensitive to their weight (measured in carat). For example, the price of a 1 carat diamond tends to be much higher than the price of a 0.99 carats diamond. To study this phenomenon in more detail, we consider two random samples of diamonds, 0.99 carats and 1 carat, each sample of size 23. The average price of 0.99 carats diamonds in the sample is $4451, while the average price of 1 carat diamonds in the sample is $5681. From long-term studies, we know that both the prices of 0.99 carats diamonds and the prices of 1 carat diamonds are normally distributed with standard deviations oj = $1332 (0.99 carats) and o2 = $1613 (1 carat), respectively. (a) Carry out a hypothesis test at significance level 0.01 to evaluate whether the true average price µi of 0.99 carats diamonds is lower than the true average price µ2 of 1 carat diamonds. Specify Ho and Ha, the test statistic, and calculate the p-value or use p-value considerations to conclude. (b) Compute the type II…

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