Chapter 8 Flashcards
statistical hypothesis testing
A procedure that allows us to evaluate hypothesis about population parameters based on sample statistics.
research hypothesis
A statement reflecting the substantive hypothesis. It is always expressed in terms of population parameters, but its specific form varies form test to test.
one-tailed test
A type of hypothesis test that involves a directional research hypothesis. It specifies that the values of one group are either larger or smaller than some specified population value.
right-tailed test
A one-tailed test in which the sample outcome is hypothesized to be at the right tail of the sampling distribution.
left-tailed test
A one-tailed test in which the sample outcome is hypothesized to be at the left tail of the sampling distribution.
two-tailed test
A type of hypothesis test that involves a nondirectional research hypothesis. We are equally interested in whether the values are less than or greater than one another. The sample outcome may be located at both the lower and the higher ends of the sampling distribution.
null hypothesis
A statement of “no difference” that contradicts the research hypothesis and is always expressed in terms of population parameters.
z statistic (obtained)
The test statistic computed by converting a sample statistic (such as the mean) to a Z score. The formula for obtaining Z varies from test to test.
p value
The probability associated with the obtained value of Z.
alpha
The level of probability at which the null hypothesis is rejected. It is customary to set alpha a the .05, .01, or .001 level.
type I error
The probability associated with rejecting a null hypothesis when it is true.
type II error
The probability associated with failing to reject a null hypothesis when it is false.
t statistic (obtained)
The test statistic computed to test the null hypothesis about a population mean when the population standard deviation is unknown and is estimated using the sample standard deviation.
t distribution
A family of curves, each determined by its degrees of freedom. It is used when the population standard deviation is unknown and the standard error is estimated from the sample standard deviation.
degrees of freedom
The number of scores that are free to vary in calculating a statistic.