p-value
there is nothing sacred about ____
.05
a null hypothesis is __ or ___, one way of the other
right wrong
know how to determine whether a ___ is likely to come from a particular ____
sample population
p-value obtained is based on a ____ ______ which is based on the __ _____
sampling distribution null hypothesis
____ p-values lead us to ___ null hypotheses and ____ alternative hypotheses
small reject support
the ____ the p-value is, the more _____ the evidence is ___ the null hypothesis
smaller convincing against
p-value measures _____ of ____ against a ____
strength evidence hypothesis
only in certain circumstances is a ___ appropriate (do you really have a ___ ___ from the population?)
test random sample
p-value represents a ____ of the ___ _____
portion null hypothesis
know how to determine if an effect is ___ ____
practically significant
p-value is _____ of ___ given a particular _______
probability data null hypothesis
a ____% confidence interval will ___ any value of the null hypothesis that is _____ the interval at a ___% significance level for a __ sided test
95 reject outside 5 two
p-value is a ____
probability statement
p-values can be referenced to ___, or the chance of making a _____ __ error
alpha type one
p-value tells you the chance of getting statistics ________ or ____ than ____, given a ______ of the ____, ____, or ______ P(data/Ho)
as extreme more extreme this one specified value parameter assumptions null hypothesis
p-value is based on _______; how likely is this ____ or a more ____ one as a result of chance alone?
chance variation sample extreme
know how to draw ___ based on a ___ ____
conclusion hypothesis test
the relationship between a _____ ______, ____ and p-value
confidence interval alpha
you need to make a ____ about the ____ of a possible ___ before computing a p-value (specify the ___)`
conjecture direction effect hypothesis
p-values are about ____ not _____
data parameters
p-values are only as good as your ___. The error involved may be due to ____
data sampling
a p-value indicates that there may be an ___ and how strong the ____ is that there is an effect. It _____ tell how ___ an effect there is
effect evidence does not large
conduct a ___ ____ and know how to make a decision and ___ the results
hypothesis test interpret
_____ a p-value is relative to the ____ or _____ of the problem (and ___)
interpreting context consequence data
if a p-value is ___, the null hypothesis could still be ___, but may be too __ to reject the null
large false small
____ samples can lead to ____ p-values without resulting in ______ significance
large small practical
a ____ sample size with the ___ sample mean will result in a ___ p-value (ie. stronger evidence)
larger same smaller
If the ___ is rejected, know how to estimate the ____ ____
null population parameter
if a p-value is small, then either the ___ ___ is ____ or we got a very ____ sample
null hypothesis false unlikely