A teller at a drive-up window at a bank had the following
service times (in minutes) for 20 randomly selected
customers:
| SAMPLE | |||
| 1 | 2 | 3 | 4 |
| 4.5 | 4.6 | 4.5 | 4.7 |
| 4.2 | 4.5 | 4.6 | 4.6 |
| 4.2 | 4.4 | 4.4 | 4.8 |
| 4.3 | 4.7 | 4.4 | 4.5 |
| 4.3 | 4.3 | 4.6 | 4.9 |
a. Determine the mean of each sample.
(Round your answers to 1 decimal place.)
| Sample | Mean |
| 1 | |
| 2 | |
| 3 | |
| 4 | |
b. If the process parameters are unknown, estimate
its mean and standard deviation. (Round "Mean" value to 1
decimal place and "Standard deviation" value to 3 decimal
places.)
| Mean | |
| Standard deviation | |
c. Estimate the mean and standard deviation of the
sampling distribution. (Round "Mean" value to 1 decimal
place and "Standard deviation" value to 3 decimal
places.)
| Mean | |
| Standard deviation | |
d. What would three-sigma control limits for the
process be? What alpha risk would they provide? (Round your
"UCL and LCL" values to 3 decimal and "Risk" value to 4 decimal
places.)
| LCL | |
| UCL | |
| Risk | |
e. What alpha risk would control limits of 4.14
and 4.86 provide?
Alpha risk
f. Using limits of 4.14 and 4.86, are any sample
means beyond the control limits?
Yes
No
g. Construct control charts for means and ranges
using the following table. Are any samples beyond the control
limits? (Leave no cells blank - be certain to enter "0"
wherever required. Round your answers to 4 decimal
places.)
Factors for three-sigma control limits for x¯x¯ and
R charts
| FACTORS FOR R CHARTS | |||||||
| Number of Observations in Subgroup, n |
Factor for x¯x¯ Chart, A2 |
Lower Control Limit, D3 |
Upper Control Limit, D4 |
||||
| 2 | 1.88 | 0 | 3.27 | ||||
| 3 | 1.02 | 0 | 2.57 | ||||
| 4 | 0.73 | 0 | 2.28 | ||||
| 5 | 0.58 | 0 | 2.11 | ||||
| 6 | 0.48 | 0 | 2.00 | ||||
| 7 | 0.42 | 0.08 | 1.92 | ||||
| 8 | 0.37 | 0.14 | 1.86 | ||||
| 9 | 0.34 | 0.18 | 1.82 | ||||
| 10 | 0.31 | 0.22 | 1.78 | ||||
| 11 | 0.29 | 0.26 | 1.74 | ||||
| 12 | 0.27 | 0.28 | 1.72 | ||||
| 13 | 0.25 | 0.31 | 1.69 | ||||
| 14 | 0.24 | 0.33 | 1.67 | ||||
| 15 | 0.22 | 0.35 | 1.65 | ||||
| 16 | 0.21 | 0.36 | 1.64 | ||||
| 17 | 0.20 | 0.38 | 1.62 | ||||
| 18 | 0.19 | 0.39 | 1.61 | ||||
| 19 | 0.19 | 0.40 | 1.60 | ||||
| 20 | 0.18 | 0.41 | 1.59 | ||||
| Means | |
| LCL | |
| UCL | |
All sample means are (Click to select) with
in not within the limits.
| Ranges | |
| LCL | |
| UCL | |
All ranges are (Click to
select) within not within the
limits.
i-1. If the process has a known mean of 4.4 and a
known standard deviation of .18, what would three sigma control
limits be for a mean chart? (Round your answers to 2
decimal places.)
| LCL | |
| UCL | |
i-2. Are any sample means beyond the control
limits?
Yes
No
i-3.If so, which one(s)?
First one
Second one
Third one
Last one
This is the last question in the assignment. To submit, use Alt + S. To access other questions, proceed to the question map button.Next
|
Sample |
Mean |
|
1 |
4.3 |
|
2 |
4.5 |
|
3 |
4.5 |
|
4 |
4.7 |
Answer:
|
Sample |
1 |
2 |
3 |
4 |
|
4.5 |
4.6 |
4.5 |
4.7 |
|
|
4.2 |
4.5 |
4.6 |
4.6 |
|
|
4.2 |
4.4 |
4.4 |
4.8 |
|
|
4.3 |
4.7 |
4.4 |
4.5 |
|
|
4.3 |
4.3 |
4.6 |
4.9 |
|
|
Mean |
4.3 |
4.5 |
4.5 |
4.7 |
|
x |
x-x-bar |
(x-x-bar)^2 |
|
|
4.5 |
0 |
0 |
|
|
4.2 |
-0.3 |
0.09 |
|
|
4.2 |
-0.3 |
0.09 |
|
|
4.3 |
-0.2 |
0.04 |
|
|
4.3 |
-0.2 |
0.04 |
|
|
4.6 |
0.1 |
0.01 |
|
|
4.5 |
0 |
0 |
|
|
4.4 |
-0.1 |
0.01 |
|
|
4.7 |
0.2 |
0.04 |
|
|
4.3 |
-0.2 |
0.04 |
|
|
4.5 |
0 |
0 |
|
|
4.6 |
0.1 |
0.01 |
|
|
4.4 |
-0.1 |
0.01 |
|
|
4.4 |
-0.1 |
0.01 |
|
|
4.6 |
0.1 |
0.01 |
|
|
4.7 |
0.2 |
0.04 |
|
|
4.6 |
0.1 |
0.01 |
|
|
4.8 |
0.3 |
0.09 |
|
|
4.5 |
0 |
0 |
|
|
4.9 |
0.4 |
0.16 |
|
|
Total |
0.7 |
Standard Deviation = Square root((x-x-bar)^2/(n-1)) = Square root (0.7/19) = 0.191942974 = 0.192 (Rounding to 3 decimal places)
Where n = Sample Size = 5 here
Standard deviation of sampling distribution = 0.192/Square root(5) = 0.192/2.2360 = 0.085867 = 0.086 (Rounding to 3 decimal places)
LCL = Mean - 3*Standard deviation of sampling distribution = 4.5 - 3*0.086 = 4.242
As this is a 3-sigma control chart Z value = 3 corresponding to this probability = 0.9987
So alpha risk = (1-0.9987)*2 = 0.0026
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