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Distributions of a Sample Mean
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Testing for Diabetes… A female patient is being tested for gestational diabetes. A glucose level of 140 mg/dL or more 1 hour after ingesting a sugar drink would suggest diabetes. A patient shows m = 136 mg/dL (with s = 5) after one such a test. Can the doctor safely conclude that the patient does not have diabetes? The doctor decides to order 3 more tests over the next 3 days and gets the same reading of m = 136 mg/dL . How does this affect the confidence she places in her diagnosis?
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The Mean… A phone survey is conducted to determine how many hours of TV are watched in a household. This could be used to set the price for selling advertising, for example. Some of the most useful statistics that could be determined are: The mean number of hours of TV watched The standard deviation
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Sample Means and Population Means
We generally do not know the population mean (but assume it exists) We estimate the population mean by taking the mean of a SRS sample mean
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A Key Question… How accurate is our measure of the mean in the population? In other words – “How well does any one measure of sample mean represent the actual mean?”
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Some fundamental ideas…
If we measure the mean from “large” samples of a population then the “mean of the mean” should be very nearly equal to the true population mean See example 5.14
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The Central Limit Theorem
As n gets big (and as long as there is a finite standard deviation) then any sampling distribution of the sample mean becomes normal. This means that See example 5.19
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Time for some applications…
ooh .. This isn’t a math course?
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Group work… 5.42 5.49 5.50 5.51 Indentify “n”
Set up in N(m,s) form, use Z-score 5.49 Hint – see example 5.17 Draw this as a N(m,s) distribution 5.50 Similar to 5.49 5.51
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In conclusion… Make sure to review the numerous formulae in this chapter Pick 4 or 5 questions from Chapter Exercises on pgs and: Try to identify the specific statistical method appropriate Make sure to correctly identify “n” and “k” Try to solve!
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