Download Understanding Hypothesis Tests: Two-Tailed Tests, Significance Levels, and Errors and more Quizzes Data Analysis & Statistical Methods in PDF only on Docsity!
two sided or two tailed hypothesis test
the alternative hypothesis includes values in either direction from a specified standard TERM 2
null and alternative hypothesis are about
DEFINITION 2 population parameters TERM 3
true about p-values:
DEFINITION 3 the wronger the p-value the stronger the evidence in favor of the alternative hypothesis TERM 4
if p-value is
DEFINITION 4 statisticaally significant TERM 5
p-value is..
DEFINITION 5 the likelihood that a statistic would be as/more extreme than what was observed
test statistic is
the data summary used to decide between the null hypothesis and the alternative TERM 7
significance level is..
DEFINITION 7 the designated level (typical .05) to which the p-value is compared to in order to determine whether the alternative hypothesis is accepted or not TERM 8
= to rejecting the null hypothesis
DEFINITION 8
- the results are statistically significant-the alternative hypothesis is accepted-the p-value</= a (significance level) TERM 9
statistically significant
DEFINITION 9 -null hypothesis is rejected-p-value</= a (significance level) TERM 10
the stronger the p-value the
DEFINITION 10 stronger the evidence against the null hypothesis
the primary purpose of a significance test is
to
decide whether there is enough evidence to support a research hypothesis about a population TERM 17
the level of significance test is the probability
of
DEFINITION 17 rejecting a true null hypothesis TERM 18
tests for hypothesis
testing
DEFINITION 18 1)verify data conditions and calculate a test statistic2)determine null and alternative hypothesis3) assuming the null hypothesis is true, find the p-value TERM 19
true about hypothesis
testing
DEFINITION 19 -the nulll hyp defines a specified value of a pop. parameter called the null value-p-val=test statistic-on the basis of the p value we either reject or fail to reject the null hyp. TERM 20
when comparing 2 means, situation that is
statistically significant but of little practical
importance is..
DEFINITION 20 when the actual difference is small and the sample sizes are large
