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STAT 135 LAB 10

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It is an atomic clock that is accurate to a tenth of a nanosecond (it might lose ... why not just use the best clock (NIST-F1) to set the official world time? ... – PowerPoint PPT presentation

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Title: STAT 135 LAB 10


1
STAT 135 LAB 10
  • Learning Objective 67
  • TA Dongmei Li

2
A Story
  • The most accurate clock in the world is the
    NIST-F1 built by the National Institute of
    Standards and Technology in Boulder Colorado. It
    is an atomic clock that is accurate to a tenth of
    a nanosecond (it might lose a second in 20
    million years). Coordinated Universal Time (UTC)
    is the official world time. UTC is a weighted
    average of 250 different atomic clocks in 50
    countries.
  • Question why not just use the best clock
    (NIST-F1) to set the official world time?

3
Answer to above question
  • Because the average of many independent
    measurements is more reliable than a single
    measurement using the same process. Thus, as long
    as that clock isnt way better than the others,
    the average of all 50 should be more reliable.

4
THE LAW OF AVERAGES
  • More independent trials
  • Averages or proportions are likely to be more
    stable.
  • The margin of error will decrease.
  • However, sums or counts are likely to be more
    variable when the number of independent trials
    increases.

5
Example
  • Flip a coin 10000 times. Have 5069 heads.
  • The proportion of getting heads is more stable in
    this case
  • Flip a coin 1000 times. Have 525 heads.
  • The variability of number of heads in 1,000
    trials is much less than the variability of
    number of heads in 10,000 trials.

6
Learning objective for Lab 10
  • 67. As the number of independent repetitions of a
    random phenomenon increases, the relative
    frequency of a particular event tends to get
    closer and closer to its probability. However the
    number of times that the event occurs will tend
    to depart more and more from what is expected
    (i.e., the number of repetitions times the
    probability).
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