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10'2: Estimating a Population Mean no

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Title: 10'2: Estimating a Population Mean no


1
10.2 Estimating a Population Mean (no )
2
  • You are estimating the standard deviation, but
    there will likely be some error involved because
    you are estimating it from sample data.
  • Resulting distribution t distribution
  • Specify a particular t distribution by degrees of
    freedom
  • Notation t(k)

3
T distribution features
  • Similar in shape to the standard Normal curve
  • The spread is a bit greater than the standard
    Normal curve
  • As degrees of freedom (k) increases, the t(k)
    density curve approaches the N(0,1) curve more
    closely

4
  • Got Milk?
  • A milk processor monitors the number of bacteria
    per milliliter in raw milk received for
    processing. A random sample of 10 one-milliliter
    specimens from milk supplied by one producer
    gives the following data
  • 4890 5100 4500 5260 5150 4900 4760 4700 4870
  • Find a 90 CI for the mean number of bacteria per
    milliliter in all the milk from this supplier.

5
When degrees of freedom are hard to find
  • When the actual df does not appear in Table C,
    use the greatest df available that is less than
    your desired df.
  • Rounding down in Table C will widen the interval
    which will safely contain the exact interval.

6
  • Recall
  • ? Matched pairs are a form of block design in
    which just two treatments are compared.
  • ?Subjects are matched in pairs and each
    treatment is given to one subject in each pair
  • ?Alternatively, each subject receives both
    treatments in some order.
  • Comparative studies are more convincing than
    single-sample investigations

7
Ex. 10.10, p. 651
  • Our subjects are 11 people diagnosed as being
    dependent on caffeine. Each subject was barred
    from caffeine instead, they took capsules
    containing their normal caffeine intake. During a
    different time period, they took placebo
    capsules. The order in which subjects took
    caffeine and the placebo was randomized.
  • Depression is the score on the Beck Depression
    Inventory. Higher scores higher depression. We
    are interested in whether or not caffeine
    deprivation affects these outcomes.
  • Construct a 90 confidence interval for the mean
    change in depression score.

8
  • Matched pairs problem (same individual received
    both treatments)
  • Study looking to provide evidence that
    withholding caffeine from caffeine-dependent
    individuals may lead to depression

9
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10
Random selection vs. Random assignment
  • Experiments are rarely done on randomly selected
    subjects the purpose is often to compare 2
    treatments rather than to generalize to a larger
    population.
  • Random selection allows us to generalize
  • Random assignment allows us to compare
    treatments

11
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12
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13
  • National Fuelsaver Corporation manufactures the
    Platinum Gasaver, a device they claim may
    increase gas mileage by 22. Here are the
    percent changes in gas mileage for 15 identical
    vehicles, as presented in one of the companys
    advertisements
  • 48.3 46.9 46.8 44.6 40.2 38.5 34.6
    33.7 28.7 28.7 24.8 10.8 10.4 6.9
    12.4
  • 1. Construct and interpret a 90 confidence
    interval to estimate the mean fuel savings in the
    population of all such vehicles. Follow the
    Inference Toolbox.
  • 2. Explain what 90 confidence means in this
    setting.
  • 3. Comment on the manufacturers claim based on
    your work in Question 1.
  •  
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