Review: Hypothesis Testing Facts

• Hypotheses:
  • Null Hypothesis/ : The accepted explanation, status quo. This is what we're trying to disprove.
  • Alternate Hypothesis/ : What the researcher or scientist thinks might really be going on, a (possibly) better explanation than the null.
• Test:
  • The goal of the test is to reject in favor of . We do this by calculating a test statistic/ and comparing its value with a value from a table in the book, the critical value.
  • If our test statistic is more extreme than our critical value, then it falls within the rejection region/ of our test and we reject . We can set up the rejection region before computing our test statistic.
• Decisions:
  • Reject .
  • Fail to reject .
• Errors:
  • Type I:/ Reject when is really true.
  • Type II:/ Fail to reject when is really false.