# Time Study and Work Sampling Project

Description

ISYE 310 – Work Sampling Lab Flip four coins and flip them all at once (this is a single measurement).Use something like https://www.random.org/coins/ ,Actual coins are too noisy and distracting Repeat the flips for a total of 10.Record the number of heads (0 through 4) and plot. Repeat 1 and 2 above a total of 10 times. This should give you a total of 100 flips. Plot the resulting 100 flips on one graph (as though they were one sample). Compare the 10 separate distributions to one another and then compare to the larger single distribution. Comment on the differences in the distributions and the similarity of the larger distribution to the normal. For each of the 10 sets of distributions (treating each set as a separate measurement set), calculate percentage of times 1 or fewer heads appears).Use this value (e.g., about 31% over the long run? Ask yourself if and why this is correct?) as your estimated p value. Calculate the number of observations needed to be 95% confident that the true probability is within plus/minus 2 points of the estimated value. If you could only take 1000 observations, how confident would you be at the same limit of error? If you could only take 1000 observations and needed to be 95% confident, what would be the resulting limit of error and range of values? Submit data, graphs, and answers to all questions by next week.

Time Study and Work Sampling
Today’s lab will be a combination of Time Study and Work Sampling. No laboratory report will
be required for this lab; however, you will submit any documentation created as a result of
carrying out the lab and answering the questions below. Time study is a skill, and the only way
to develop expertise is through practice, practice, practice!
Introduction to Time Study
2. Learn how to use the stopwatch both in snapback and continuous modes and learn the
various sections of the time study forms you select from the web. An Excel based form may
be best.
3. Time cycles of a pendulum swinging using both the continuous and the snap-back
recording methods. Note it is easiest to time the pendulum at the top of its arc when it stops
completely for an instant. As the lab does not have a pendulum, please display a virtual
pendulum on the desktop.
Rating and Breaking a Job into Elements
1. Develop your ability to rate an individual’s perceived effort on a job. Watch videotapes of
various, actual industrial operations. After becoming familiar with the operations, break
each up into several functional elements, and record these on a time study form of your
choosing from the web. Note the sounds created by the machinery. Use these as
breakpoints (where possible). Next, time and rate each element, using as many cycles as
possible. Summarize the average time required for each element.
2. Time study at least two different industrial jobs several times. Get as much practice as
you need. You have the videos posted or you can simply look your own up and watch
those, providing me a link. Submit excel sheets and links to any jobs you viewed by next
week.
ISYE 310 – Work Sampling Lab
In groups of 2 or 3 (alternatively you could easily do this one on your own):
1. Flip four coins and flip them all at once (this is a single measurement). Use something
like https://www.random.org/coins/ , Actual coins are too noisy and distracting
2. Repeat the flips for a total of 10. Record the number of heads (0 through 4) and plot.
3. Repeat 1 and 2 above a total of 10 times. This should give you a total of 100 flips. Plot
the resulting 100 flips on one graph (as though they were one sample).
4. Compare the 10 separate distributions to one another and then compare to the larger
single distribution.
5. Comment on the differences in the distributions and the similarity of the larger
distribution to the normal.
6. For each of the 10 sets of distributions (treating each set as a separate measurement set),
calculate percentage of times 1 or fewer heads appears). Use this value (e.g., about 31%
over the long run? Ask yourself if and why this is correct?) as your estimated p value.
7. Calculate the number of observations needed to be 95% confident that the true
probability is within plus/minus 2 points of the estimated value.
8. If you could only take 1000 observations, how confident would you be at the same limit
of error?
9. If you could only take 1000 observations and needed to be 95% confident, what would be
the resulting limit of error and range of values?
10. Submit data, graphs, and answers to all questions by next week.

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