100%
p-value - ANSWER the probability, when the null hypothesis is true, of obtaining a
statistic as extreme as (or more extreme than) the observed statistic
smaller p-value - ANSWER stronger the statistical evidence is against the null
hypothesis and in favor of the alternative
randomized distribution - ANSWER 1. simulate many samples using a random process
that matches the way the original data were collected and that assumes the null
hypothesis is true
2. collect the values of a sample statistic for each sample to create a randomized
distribution
3. asses the significance of the regional sample by determining where its sample
statistic lies in the randomized sample
reject the null hypothesis - ANSWER -if a statistic is unlikely to have occurred when the
null hypothesis is true
-if the p-value is less than the significant level
do not reject the null hypothesis - ANSWER -if a statistic is not unlikely to have occurred
when the null hypothesis is true
-if the p-value is greater t Han or equal to the significant level
significant level - ANSWER -a boundary below which we conclude that a p-value shows
statistically significant evidence against the null hypothesis
-represents the tolerable probability of making a Type I error
common significant levels - ANSWER 1. 0.05
2. 0.01
3. 0.10
hypothesis tests - ANSWER adress questions about a specific value and produce
results with a level of strength, p-values
confidence intervals - ANSWER adress questions of how much
density curve - ANSWER a theoretical model for a distribution