Explore BrainMass

Explore BrainMass

    Hypothesis Testing: Types of Tests and Errors

    This content was COPIED from BrainMass.com - View the original, and get the already-completed solution here!

    Please help with the following questions.

    What is a one tail test? A two tail test?

    When are they used?

    What is a type I error? A type II error?

    In the hypotheses:

    Ho: A new auto engine gets the same mpg as an older version
    Ha: A new auto engine gets more mpg than an older version

    Ho: A new drug for cardio-vascular disease is not safe
    Ha: A new drug for cardio-vascular disease is safe

    Why is the alternate stated as it is?

    What are the "type" errors and their consequences?

    © BrainMass Inc. brainmass.com June 4, 2020, 1:14 am ad1c9bdddf
    https://brainmass.com/statistics/hypothesis-testing/hypothesis-testing-types-tests-errors-387317

    Solution Preview

    (a) A test where a population parameter is tested to see if it is less than or greater than a specified value

    (b) A test where a population parameter is tested to see if it is not equal to a specified value

    (c) They are used as the situation demands- whether the parameter to be tested is <, > or <> to a specified value

    (d) Type I error: Rejecting a true null hypothesis

    Type II error: Failing to reject ...

    Solution Summary

    This solution helps answer various statistical questions, involving one and two tailed tests and type I and type II errors.

    $2.19

    ADVERTISEMENT