1. Quality management questionnaire
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I. Contents of quality management questionnaire
==================
God would like to thank you for your belief and patronage. In order to better serve your needs,
He asks that you take a few moments to answer the following questions.
Please keep in mind that your responses will be kept completely confidential, and that you need
not disclose your name or address unless you prefer a direct response to comments or
suggestions.
1. How did you find out about your Deity?
___ Newspaper
___ Bible
___ Torah
___ Book of Mormon
___ Koran
___ Divine inspiration
___ Dead Sea Scrolls
___ My mama done tol' me
___ Near-death experience
2. ___ Near-life experience
___ National Public Radio
___ Tabloid
___ Burning shrubbery
___ Other (specify): _____________
2. Which model Deity did you acquire?
___ Yahweh
___
Father, Son & Holy Ghost [Trinity
Pak]
___ Jehovah
___ Jesus
___ Krishna
___ Zeus and entourage [Olympus Pak]
___ Odin and entourage [Valhalla Pak]
___ Allah
___ Satan
___ Gaia/Mother Earth/Mother Nature
___ God 1.0a (hairy thunderer)
___ God 1.0b (cosmic muffin)
___
None of the above; I was taken in by a
false god
3. Did your God come to you undamaged,
with all parts in good working order and
with no obvious breakage or missing
attributes?
___ Yes
___ No
If no, please describe the problems you
3. initially encountered here. Please indicate all
that apply:
___ Not eternal
___
Finite in space/Does not occupy or
inhabit the entire cosmos
___ Not omniscient
___ Not omnipotent
___
Not infinitely plastic (incapable of
being all things to all creations)
___ Permits sex outside of marriage
___ Prohibits sex outside of marriage
___
Makes mistakes (Geraldo Rivera,
Jesse Helms)
___
Makes or permits bad things to
happen to good people
___
When beseeched, doesn't stay
beseeched
___ Requires burnt offerings
___ Requires virgin sacrifices
___ Plays dice with the universe
4. What factors were relevant in your
decision to acquire a Deity? Please check all
that apply.
___ Indoctrinated by parents
___ Needed a reason to live
___ Indoctrinated by society
___ Needed focus in whom to despise
___ Imaginary friend grew up
___
Wanted to know Jesus in the Biblical
sense
___ Graduated from the tooth fairy
4. ___ Hate to think for myself
___ Wanted to meet girls/boys
___ Fear of death
___ Wanted to piss off parents
___ Needed a day away from work
___ Desperate need for certainty
___ Like organ music
___ Need to feel morally superior
___ Thought Jerry Falwell was cool
___
My shrubbery caught fire and told me
to do it
5. Have you ever worshipped a Deity
before? If so, which false god were you
fooled by? Please check all that apply.
___ Mick Jagger
___ Rajanish
___ Baal
___ The almighty dollar
___ Bill Gates
___ Left-wing liberalism
___ The radical right
___ Ra
___ Beelzebub
___ Barney T.B.P.D.
___ The Great Spirit
___ The Great Pumpkin
___ The sun
___ Elvis
___ Cindy Crawford
5. ___ The moon
___ TV news
___ Burning shrubbery
___ Other: ________________
6. Are you currently using any other source of inspiration
in addition to God? Please check all that apply.
__ Tarot __ Lottery __ Astrology
__ Television
__ Fortune
cookies
__ Ann
Landers
__ Psychic Friends Network
__
Dianetics
__ Palmistry
__ Playboy and/orPlaygirl
__ Self-
help books
__ Sex, drugs,
rock and roll
__ Biorhythms __ Alcohol __ Bill Clinton
__ Tea leaves __ EST
__
CompuServe
__ Mantras
__ Jimmy
Swaggert
__ Crystals
(not including
Crystal Gayle)
__ Human sacrifice
__
Pyramids
__ Wandering
in a desert
__ Burning shrubbery
__ Barney
T.B.P.D.
__ Barney Fife
Other:___________
7. God employs a limited degree of divine intervention to preserve the balanced level of felt
presence and blind faith. Which would you prefer (circle one)?
a. More divine intervention
b. Less divine intervention
c. Current level of divine intervention is just right
d. Don't know...what's divine intervention?
6. 8. God also attempts to maintain a balanced level of disasters and miracles. Please rate on a scale
of 1 - 5 his handling of the following
(1=unsatisfactory, 5=excellent):
Disasters:
flood 1 2 3 4 5
famine 1 2 3 4 5
earthquake 1 2 3 4 5
war 1 2 3 4 5
pestilence 1 2 3 4 5
plague 1 2 3 4 5
spam 1 2 3 4 5
AOL 1 2 3 4 5
Miracles:
rescues 1 2 3 4 5
spontaneous remissions 1 2 3 4 5
stars hovering over jerkwater towns 1 2 3 4 5
crying statues 1 2 3 4 5
water changing to wine 1 2 3 4 5
walking on water 1 2 3 4 5
VCRs that set their own clocks 1 2 3 4 5
Saddam Hussein still alive 1 2 3 4 5
getting any sex whatsoever 1 2 3 4 5
9. Do you have any additional comments or suggestions for improving the quality of God's
services? (Attach an additional sheet if necessary.)
If you are able to complete the questionnaire and return it to one of our conveniently located
drop-off boxes by October 31 you will be entered in the One Free Miracle of Your Choice
drawing (chances of winning are approximately one in 6.023 x 10 to the 23rd power, depending
on number of beings entered).
==================
7. III. Quality management tools
1. Check sheet
The check sheet is a form (document) used to collect data
in real time at the location where the data is generated.
The data it captures can be quantitative or qualitative.
When the information is quantitative, the check sheet is
sometimes called a tally sheet.
The defining characteristic of a check sheet is that data
are recorded by making marks ("checks") on it. A typical
check sheet is divided into regions, and marks made in
different regions have different significance. Data are
read by observing the location and number of marks on
the sheet.
Check sheets typically employ a heading that answers the
Five Ws:
Who filled out the check sheet
What was collected (what each check represents,
an identifying batch or lot number)
Where the collection took place (facility, room,
apparatus)
When the collection took place (hour, shift, day
of the week)
Why the data were collected
2. Control chart
Control charts, also known as Shewhart charts
(after Walter A. Shewhart) or process-behavior
charts, in statistical process control are tools used
to determine if a manufacturing or business
process is in a state of statistical control.
If analysis of the control chart indicates that the
process is currently under control (i.e., is stable,
with variation only coming from sources common
8. to the process), then no corrections or changes to
process control parameters are needed or desired.
In addition, data from the process can be used to
predict the future performance of the process. If
the chart indicates that the monitored process is
not in control, analysis of the chart can help
determine the sources of variation, as this will
result in degraded process performance.[1] A
process that is stable but operating outside of
desired (specification) limits (e.g., scrap rates
may be in statistical control but above desired
limits) needs to be improved through a deliberate
effort to understand the causes of current
performance and fundamentally improve the
process.
The control chart is one of the seven basic tools of
quality control.[3] Typically control charts are
used for time-series data, though they can be used
for data that have logical comparability (i.e. you
want to compare samples that were taken all at
the same time, or the performance of different
individuals), however the type of chart used to do
this requires consideration.
3. Pareto chart
A Pareto chart, named after Vilfredo Pareto, is a type
of chart that contains both bars and a line graph, where
individual values are represented in descending order
by bars, and the cumulative total is represented by the
line.
The left vertical axis is the frequency of occurrence,
but it can alternatively represent cost or another
important unit of measure. The right vertical axis is
the cumulative percentage of the total number of
occurrences, total cost, or total of the particular unit of
measure. Because the reasons are in decreasing order,
the cumulative function is a concave function. To take
the example above, in order to lower the amount of
late arrivals by 78%, it is sufficient to solve the first
three issues.
9. The purpose of the Pareto chart is to highlight the
most important among a (typically large) set of
factors. In quality control, it often represents the most
common sources of defects, the highest occurring type
of defect, or the most frequent reasons for customer
complaints, and so on. Wilkinson (2006) devised an
algorithm for producing statistically based acceptance
limits (similar to confidence intervals) for each bar in
the Pareto chart.
4. Scatter plot Method
A scatter plot, scatterplot, or scattergraph is a type of
mathematical diagram using Cartesian coordinates to
display values for two variables for a set of data.
The data is displayed as a collection of points, each
having the value of one variable determining the position
on the horizontal axis and the value of the other variable
determining the position on the vertical axis.[2] This kind
of plot is also called a scatter chart, scattergram, scatter
diagram,[3] or scatter graph.
A scatter plot is used when a variable exists that is under
the control of the experimenter. If a parameter exists that
is systematically incremented and/or decremented by the
other, it is called the control parameter or independent
variable and is customarily plotted along the horizontal
axis. The measured or dependent variable is customarily
plotted along the vertical axis. If no dependent variable
exists, either type of variable can be plotted on either axis
and a scatter plot will illustrate only the degree of
correlation (not causation) between two variables.
A scatter plot can suggest various kinds of correlations
between variables with a certain confidence interval. For
example, weight and height, weight would be on x axis
and height would be on the y axis. Correlations may be
positive (rising), negative (falling), or null (uncorrelated).
If the pattern of dots slopes from lower left to upper right,
it suggests a positive correlation between the variables
10. being studied. If the pattern of dots slopes from upper left
to lower right, it suggests a negative correlation. A line of
best fit (alternatively called 'trendline') can be drawn in
order to study the correlation between the variables. An
equation for the correlation between the variables can be
determined by established best-fit procedures. For a linear
correlation, the best-fit procedure is known as linear
regression and is guaranteed to generate a correct solution
in a finite time. No universal best-fit procedure is
guaranteed to generate a correct solution for arbitrary
relationships. A scatter plot is also very useful when we
wish to see how two comparable data sets agree with each
other. In this case, an identity line, i.e., a y=x line, or an
1:1 line, is often drawn as a reference. The more the two
data sets agree, the more the scatters tend to concentrate in
the vicinity of the identity line; if the two data sets are
numerically identical, the scatters fall on the identity line
exactly.
5.Ishikawa diagram
Ishikawa diagrams (also called fishbone diagrams,
herringbone diagrams, cause-and-effect diagrams, or
Fishikawa) are causal diagrams created by Kaoru
Ishikawa (1968) that show the causes of a specific
event.[1][2] Common uses of the Ishikawa diagram are
product design and quality defect prevention, to identify
potential factors causing an overall effect. Each cause or
reason for imperfection is a source of variation. Causes
are usually grouped into major categories to identify these
sources of variation. The categories typically include
People: Anyone involved with the process
Methods: How the process is performed and the
specific requirements for doing it, such as policies,
procedures, rules, regulations and laws
Machines: Any equipment, computers, tools, etc.
required to accomplish the job
Materials: Raw materials, parts, pens, paper, etc.
used to produce the final product
Measurements: Data generated from the process
that are used to evaluate its quality
11. Environment: The conditions, such as location,
time, temperature, and culture in which the process
operates
6. Histogram method
A histogram is a graphical representation of the
distribution of data. It is an estimate of the probability
distribution of a continuous variable (quantitative
variable) and was first introduced by Karl Pearson.[1] To
construct a histogram, the first step is to "bin" the range of
values -- that is, divide the entire range of values into a
series of small intervals -- and then count how many
values fall into each interval. A rectangle is drawn with
height proportional to the count and width equal to the bin
size, so that rectangles abut each other. A histogram may
also be normalized displaying relative frequencies. It then
shows the proportion of cases that fall into each of several
categories, with the sum of the heights equaling 1. The
bins are usually specified as consecutive, non-overlapping
intervals of a variable. The bins (intervals) must be
adjacent, and usually equal size.[2] The rectangles of a
histogram are drawn so that they touch each other to
indicate that the original variable is continuous.[3]
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