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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

1. Utilize the stopwatch on your phone or download a free app.

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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