Resistors for electronic circuits are manufactured on a high-speed automated machine. The machine is set up to produce a large run ofresistors of 1,000 ohms each. Use Exhibit 13.7.To set up the machine and to create a control chart to be used throughout the run, 15 samples were taken with four resistors in eachsample. The complete list of samples and their measured values are as follows. Use three-sigma control limits.12345SAMPLENUMBER612345678910111213147891011121314159761018102710151002 101698110161000997996READINGS (IN OHMS)9989859799939741025102199010191028 102710099929721009 10061027102710159929869799871028994 101010249901000 1006 101810151015100497710181020974976999a. Calculate the mean and range for the above samples. (Round "Mean" to 2 decimal places and "Range" to the nearest wholenumber.)102410099949779931012972Sample Number974990MeanRange b. Determine X and R. (Round your answers to 3 decimal places.)XRc. Determine the UCL and LCL for a X chart. (Round your answers to 3 decimal places.)UCLLCLd. Determine the UCL and LCL for R-chart. (Leave no cells blank - be certain to enter "0" wherever required. Round your answers to3 decimal places.)UCLLCLe. What comments can you make about the process?O The process is in statistical control.O The process is out of statistical control.

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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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kindly help me with this exercise thank you! Answer only 1and 2
A teacher wants to compute for the body mass index of few students as part of his research. As a start, the table below shows the heights of five students in meters. Supposed samples of size 2 are taken from this population of five students, complete the given table and answer the following tasks. Construct the desired tables needed for your solutuons and answers. Student Height (X) Hazel Kim 1.47 Mee Ann Mae 1.58 Grace Ann 1.67 Jethro 1.69 Chelsea Mae 1.51 TOTAL 7.92 STEPS: 1. Solve for the mean of the population u. 2. Solve for the mean of the sampling distribution of the sample means u g. 3. Compare u and ug- 4. Solve for the variance (a 2) and the standard deviation (a) of the population. 5. Solve the variance (o ? ) and the standard deviation (o ) of the sampling distribution of the sample means ug 6. Compare a and a g.
Kindly answer letters d, e and f only.
To determine if their 14 oz filling machine is properly adjusted, Harvey Soft Drinks has decided to use an X-Chart which uses the range to estimate the variability in the sample. J. Answer How to enter your answ Table Step 1 of 7: What is the Center Line of the control chart? Round your answer to three decimal places. Control Chart Period 1 2 3 4 5 6 7 8 9 10 11 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. Copy Table Average Values The average of the selected cell(s) is 14.000. Copy Value Sample Mean Sample Range 14.0060 0.04 0.04 0.04 0.10 0.08 0.09 0.07 0.05 0.05 0.06 0.07 obs1 obs2 obs3 obs4 obs5 14.00 13.99 14.03 14.01 14.00 14.02 14.05 14.05 14.01 14.04 14.0340 14.02 14.01 14.05 14.04 14.02 14.0280 14.04 13.97 14.05 13.95 14.00 14.0020 13.96 14.01 14.00 14.04 14.02 14.0060 13.96 14.00 14.00…
A process is monitored for defective items by taking a sample of 200 items each day and calculating the proportion that are defective. Let p; be the proportion of defective items in the ith sample. For the last 30 samples, the sum of the proportions is E P; = 1.64. Calculate the center line and the 30 upper and lower control limits for a p chart.
The following table gives the weeks of gestation and corresponding birth weights for a sample of 5 babies. Weeks of Gestation Weight (in pounds)34 4.535 636 737 8.538 9.5 Step 3 of 3 : Calculate the coefficient of determination, r2 Round your answer to three decimal places.
Find P15, Q1,D3,Q2,D6 and P85
Consider a two-sided CUSUM chart with k=0.5 and h=5. If the process mean shifts by 1σ, then the approximate ARL1 value of this chart is a. 10.34 b. 9.43 c. 3.94 d. 11.94 e. 4.39
Two universities give samples of students the same exam. School A records the follwoing sample statistics: ā1=73, 8,=5.5, ni =80. School B records the follwoing sample statistics: z=69, ,=4.4, n2 =90. We wish to build a 95 % cofidence interval to estimate the difference in means between these schools. Define your variable: O Let p be the proprotion School A students that were higher than School B. Let u the mean test score that School A was higher than School B. Let u be the mean test score. O Let u be the mean test score at School A. Create and interpret a 95% Confidence Interval. Round your answers to one decimal place. Select an answer and Select an answer What is the margin of error? Round your answer to one decimal place. Do these results suggest that School A might have higher means on this test? ? Do these results PROVE that School A might have higher means on this test? The campus president at School A made the following statement. "Our students score an average of 5 points…
our p value is .03 and you chose your α level to be .05. What kind of error could you be making? a. Type I error b. Type II error c. Type I and Type II error d. Neither errors
A random sample of 150 individuals (males and females) was surveyed, and the individuals were asked to indicate their year incomes. The results of the survey are shown below. Income Category Category 1: $20,000 up to $40,000 Category 2: $40,000 up to $60,000 Category 3: $60,000 up to $80,000 Edit Format Table Test at a = .05 to determine if the yearly income is independent of the gender. (CSLO 1,6,7) 12pt Male 10 35 15 V Paragraph BI U A Female 30 15 45 > 2 T² :
To determine if their 1.33 centimeter galvanized pipes are properly adjusted, Fogarty Manufacturing has decided to use an X-Chart which uses the range to estimate the variability in the sample. Answer Step 5 of 7: Use the following sample data, taken from the next time period, to determine if the process is "In Control" or "Out of Control". Observations: 1.41, 1.37, 1.34, 1.4, 1.39 Sample Mean: 1.382 ©2024 Hawkes Learning WN 45678 15 Table 9 10 11 12 13 Period obs1 obs2 1 2 1.3340 1.3260 obs3 obs4 obs5 Sample Mean Sample Range 1.34 1.29 1.35 1.33 1.35 1.3320 1.35 1.35 1.29 1.38 1.28 1.3300 3 1.34 1.35 1.32 1.33 1.34 1.3360 1.36 1.29 1.37 1.35 1.30 1.29 1.31 1.33 1.32 1.38 1.31 1.32 1.31 1.31 1.34 1.3180 1.34 1.38 1.31 1.29 1.33 1.35 1.33 1.30 1.35 1.32 1.34 1.37 1.28 1.36 1.37 1.37 1.29 1.30 1.28 1.30 1.35 1.32 1.29 1.36 1.38 1.36 1.32 1.31 1.29 1.37 1.3300 1.3300 1.3440 1.3080 1.3400 1.30 1.35 1.3280 1.35 1.32 1.3300 14 1.35 1.35 1.34 1.32 1.3400 1.32 1.36 1.29 1.32 1.3280 Control…

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