665325
Description
Mind Map by cristian velez, updated more than 1 year ago
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Created by cristian velez
about 10 years ago
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4.
CONFIDENCE
INTERVALS
- DOES NOT equals probability
- statistical significance: with large sample,
clinical relevance studies can also be good too
- statistical significance: with large sample,
clinical relevance studies can also be good too
- FOR 95% =1.96
for 99%=2.575
for 90%=1.645
- P-VALUE: probability that tells you whether the study results
are consistent with being due to chance. BUT: *does not tell if
the study result was due to chance. *do not clear up about
direction-difference or measure between groups
- Note: A null hypothesis is
the default position in a
study (“there is no
association between the
exposure and the health
outcome.”) A null
hypothesis cannot be
"accepted" or "proved
true.", instead: "reject the
null hypothesis" "fail to
reject the null hypothesis"
- REMEMBER: RATIO
NULL VALUE= 1
DIFFERENCE NULL
VALUE= 0
- Note: A null hypothesis is
the default position in a
study (“there is no
association between the
exposure and the health
outcome.”) A null
hypothesis cannot be
"accepted" or "proved
true.", instead: "reject the
null hypothesis" "fail to
reject the null hypothesis"
- if you conducted the study 100 times, approximately
95% of those times the true value would be
contained between the interval of 1.9 and 4.1.
- P-VALUE: probability that tells you whether the study results
are consistent with being due to chance. BUT: *does not tell if
the study result was due to chance. *do not clear up about
direction-difference or measure between groups
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