AP STAT CH 11
A null hypothesis is a statement being tested in a significance
test, statement of ‘no effect’ ‘no difference’ or no change from
historical values. The claim about the population we are trying to
find evidence for is the alternative hypothesis. a significance test
uses data in the form of a test statistic= (estimatehypothesized
value/ st dev of estimate) here are the principles based on a
statistic that compares the values of a parameter as stated in Ho
with estimate of the sample data, values of the estimate far from
the parameter value in the direction specified by the Ha give
evidence against Ho.Measures how much the sample data
diverge from Ho. P value
is probability computed assuming Ho is
true that the observed outcome would take a value as extreme or
more extreme that that actually observed. Smaller p value,
stronger evidence against Ho. Significance level
is decisive value
of P, require data give evidence against Ho
. Significant= smaller
than
α
. Means simply not likely to happen by chance. Reject Null
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
This is the end of the preview.
Sign up
to
access the rest of the document.
 Fall '12
 Salas
 Statistics, AP Statistics, Statistical hypothesis testing, Statistical significance, Statistical power, st dev

Click to edit the document details