Statistic

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Author:
starvinmarvin623
ID:
120735
Filename:
Statistic
Updated:
2011-12-04 16:57:16
Tags:
statistics
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Description:
statistics
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  1. hypothesis test for one population mean when sigma is known
    • Z test
    • assumptions:
    • 1. Simple random Sample
    • 2. sigma is known
    • 3. normal or large distribution
  2. test for 1 population mean when sigma is unknown
    • T-test
    • assumptions:
    • 1.Simple random Sample
    • 2. sigma is unknown
    • 3. normal or large n
  3. 2 population mean when standard deviations are the same
    • Pooled t-test
    • If the large S divided by small S is less than 2 it is still pooled
    • assumptions:
    • 1. Simple random Sample
    • 2. independent samples
    • 3. same standard deviations
    • 4. normal or large n
  4. pooled t-interval
    assumptions are the same for 2 population mean pooled t test
  5. 2 population means when standard deviations are not the same
    • non pooled t test
    • assumptions:
    • 1.Simple random Sample
    • 2. independent samples
    • 3. standard deviations are not the same
    • 4. normal or large n
  6. paired t-test
    • differences between populations make it a t test
    • assumptions:
    • 1. Simple random Sample
    • 2. normal or large n
    • null: mu1=mu2 (difference is 0)
    • alternative: mu1 <,>,not = mu2
  7. chi squared/ chi squared goodness of fit
    • always right skewed
    • assumptions:
    • 1. all expected frequences are at least 1
    • 2. at most 20% of expected frequencies are less than 5
    • 3.Simple random Sample
    • null: two variables are not associated
    • alternative: they are associated

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