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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
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
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
pooled t-interval
assumptions are the same for 2 population mean pooled t test
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
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
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
Author
starvinmarvin623
ID
120735
Card Set
Statistic
Description
statistics
Updated
2011-12-04T21:57:16Z
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