Statistics Ch. 8
Terms in this set (14)
claim or statement about a property of a population
standard procedure for testing a claim about a property of a population
null hypothesis (Ho)
statement that the value of a population parameter is EQUAL TO some claimed value
alternative hypothesis (H1, Ha, HA)
statement that the parameter has a value that somehow differs from the null hypothesis.
value used in making a decision about the null hypothesis found by converting sample statistic to a score with the assumption that the null hypothesis is true.
set of all values of the test statistic that cause us to reject the null hypothesis.
denoted by alpha. probability that the test statistic will fall in the critical region when the null hypothesis is actually true.
any value that separates the critical region from the values of the test statistic that do not lead to the rejection of the null hypothesis.
critical region is in the two extreme regions under the curve
the critical region is in the extreme left region under the curve
the critical region is in the extreme right region under the curve
probability of getting a value of the test statistic that is AT LEAST AS EXTREME as the one representing the sample data, assuming the null hypothesis is true. [area]
type I error
the mistake of rejecting the null hypothesis when it is actually true. Alpha is used to represent the probability of a type I error.
type II error
the mistake of failing to reject the null hypothesis when it is actually false. Beta is used to represent the probability of a type II error.
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