4.
Xbar of sample 1=AVERAGE(B4:F4)=23.2
(Drag this cell formula down for rest of the samples)
Process mean=Xbar bar=Average of all the Xbar values=AVERAGE(G4:G9)=25.10
Range of sample 1=MAX(B4:F4)-MIN(B4:F4)=4
(Drag this cell formula down for rest of the samples)
Rbar=Average of all the range values=AVERAGE(H4:H9)=4.17
From the control constants table ,for n=5 ,A2=0.577,D3=0 ,D4=2.115
In X chart ,
UCLx=X-bar bar +A2*Rbar=D12+H13*D11=27.50
LCLx=X-bar bar -A2*Rbar=D12-H13*D11=22.70
Xbar of sample 7=(28+20+29+19+27)/5=24.6
Xbar of sample 8=(15+34+36+14+26)/5=25
Since the xbar values of sample 7 and 8 lie within the control limits and hence the process is in control.

5.In P chart,
we first calculate p-bar i.e the center line
p-bar =Average of the fraction defectives =AVERAGE(E3:E7)=0.10
Next, we calculate Sp =sqrt(p-bar(1-p-bar)/n))
=sqrt(0.10*(1-0.10)/100))
=0.03
UCLp =p-bar+z *Sp=0.10+3*0.03=0.184
LCLp=p-bar-z*Sp=0.10-3*0.03=0.008
Calculations are as shown below:

4) Now that Continental can detect more defects before the Silver Box is shipped, I decided...
kon over the past 10 days are given below. Sample size is 100. Day Defectives 1 7 2 9 3 9 4 11 5 7 6 8 7 0 8 11 9 13 10 2 a) The upper and lower 3-sigma control chart limits are: UCL, -(enter your response as a number between 0 and 1, rounded to three decimal places). LCL - Center your response as a number between 0 and 1, rounded to three decimal plocos). b) Given...
The
Money Pit Mortgage Company is interested in monitoring the
performance of the mortgage process. Fifteen samples of five
completed mortgage transactions each were taken during a period
when the process was believed to be in control. The times to
complete the transactions were measured. The means and ranges of
the mortgage process transaction times, measured in days, are as
follows:
b.
Sample123456789 10 11 12 13 14 15 Mean 5 103 7 8 13 14 9 9 9 5...
The Money Pit Mortoage Company is interested in monitoring the performance of the mortoage procees. Firieen samples of five compieted mortgage traneactions each were teken duing a period when the procees was beieved to be in control The times to complete the transsctons were meesured. The meens and ranges of the mongege process trensschon imes, measured in days, are as folows: Sample 1 2 3 4 9 10 11 12 13 14 15 Mean 13 11 5 14 12 13...
The results of inspection of DNA samples taken over the past 10 days are given below. Sample size is 100. 10 Day Defectives 2 3 4 6 6 0 6 a) The upper and lower 3-sigma control chart limits are: UCLp(enter your response as a number between 0 and 1, rounded to three decimal places). LCL(enter your response as a number between 0 and 1, rounded to three decimal places). b) Given the limits in part a, is the process...
all in one
I. Given the following table of coating weights for samples of size n-4: (a) Calculate the x 's and R's for samples 2 through & (b) Calculate the X and R values for all cight samples (c) Determine the appropriate constants that would be used with this data to constructx and R control charts, and calculate the control limits Range 18.5 17.9 19.6 22.2 16.5 19.0 2021.2 20.5 20.3 18.90 19.8 20.4 22.8 19.0 20.7 22.2 20.5...
thanks! :)
Formulas for Questions 24-27 Upper control in. UCL= 1 + 20 Lower control it. LCL - P - 20% where p mean traction detective in the sample 2 of normal standard deviations for 99.73%) standard deviation of the sampling distribution /P(1-P) size of each sample size of each sample Table 2. A manufacturer of precision machine parts produces a specialty bracket. They inspected random samples with 70 brackets per sample a total of 600 brackets and checked each...
Please solve and
explain steps thanks
A sample of 200 ROM computer chips was selected on each of 30 consecutive days, and the number of nonconforming chips on each day was as follows: The data has been given so that it can be copied into R as a vecto. #### non.conforming = c(11, 21, 27, 16, 35, 17, 4, 22, 9, 22, 30, 18, 15, 21, 20, 19, 12, 23, 11, 22, 15, 16, 12, 26, 28, 14, 11, 17,...
1st*variability is: in
control/out of control
2nd*no samples fall/one/two/more
3rd* in control/out of control
The following are quality control data for a manufacturing process at Kensport Chemical Company. The data show the temperature in degrees centigrade at five points in time during a manufacturing cycle. X Sample R 1 95.72 1.0 95.24 2 0.9 0.9 95.18 95.42 0.4 4 5 95.46 0.5 95.32 1.1 6 7 95.40 0.9 95.44 0.3 9 95.08 0.2 10 95.50 0.6 11 95.80 0.6 12...
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 0 3 15 3 4 15 3 5 15 3 6 15 1 7 15 3 8 15 2 9 15 0 10 15 3 a. Determine the p−p−, Sp, UCL and LCL...
I
will rate
2. A process has a X-bar control chart with UCL-17.4. LCL-12.79 using a 3-sigma limit. The subgroup sample size is 3. (a) Estimate the standard deviation of the process, sigma hat. (6 pts) (b) Suppose that the process mean shifts to 13. Find the probability that this shift will be detected on the next sample. (8 pts) (c) Calculate the average run length (ARL) before detecting the shift. (6 pts)