Lectures

More about Hypothesis Tests

by David Spade, PhD
(1)

Questions about the lecture
My Notes
  • Required.
Save Cancel
    Learning Material 2
    • PDF
      Foliensatz 4 Statistics II Lecture David Spade.pdf
    • PDF
      Download Lecture Overview
    Report mistake

    About the Lecture

    hypothesis-test

    Included Quiz Questions

    1. The null hypothesis is set as a claim of no difference or no effect.
    2. The null hypothesis for a population proportion is always set at p= 0.
    3. The null hypothesis is the claim you want to prove.
    4. The hypothesis test is designed to prove that the null hypothesis is true.
    1. The p-value is the probability that the null hypothesis is true.
    2. The null hypothesis for a population proportion is always set at p= 0.
    3. The null hypothesis is the claim you want to prove.
    4. The hypothesis test is designed to prove that the null hypothesis is true.
    1. The significance is the probability that the null hypothesis is rejected when it is true.
    2. The significance level is the probability that the null hypothesis is rejected.
    3. The significance level is the probability that the null hypothesis is true.
    4. The significance level is the probability that the null hypothesis is false.
    1. With the sample size staying the same, power increases as significance level increases.
    2. With the sample size staying the same, power decreases as significance level increases.
    3. The power is the probability that the null hypothesis is false, while the significance level is the probability that the null hypothesis is rejected.
    4. The power is the probability that the null hypothesis is rejected, while the significance level is the probability that the null hypothesis is rejected when it is true.
    1. If the result of our test is statistically significant, this always means that there is a significance from a practical standpoint.
    2. It is possible to carry out a hypothesis test perfectly and still make a mistake.
    3. The p-value is not to be interpreted as the probability that the null hypothesis is true.
    4. Increasing the sample size will result in higher power.

    Author of lecture More about Hypothesis Tests

     David Spade, PhD

    David Spade, PhD


    Customer reviews

    (1)

    5,0 of 5 stars
    5 Stars
    5
    4 Stars
    0
    3 Stars
    0
    2 Stars
    0
    1  Star
    0