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