Significance Testing Error Interpretation
18 Questions
1 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What does it mean when a null hypothesis is rejected at a significance level of 0.01?

  • The result is less statistically significant than if it were rejected at 0.05.
  • The result is more statistically significant than if it were rejected at 0.05. (correct)
  • The result is not statistically significant.
  • The result is equally statistically significant as if it were rejected at 0.05.

In null hypothesis significance testing, what should be done to discuss the size of an effect?

  • Calculate and interpret the effect size. (correct)
  • Reject the null hypothesis.
  • Conduct more statistical tests.
  • Increase the alpha level.

Which statistical test is commonly used to examine whether the difference in mean scores between two groups is statistically significant?

  • ANOVA test
  • Chi-square test
  • T-test (correct)
  • Regression analysis

What do researchers need to specify before conducting a statistical test?

<p>Alpha level (A)</p> Signup and view all the answers

Which test is suitable for examining differences among three or more groups, such as in factorial designs?

<p>ANOVA (F test) (B)</p> Signup and view all the answers

What does a significance test in the NHST framework determine?

<p>Whether to reject the null hypothesis (C)</p> Signup and view all the answers

What is the typical p-value threshold used in null hypothesis significance testing to reject the null hypothesis?

<p>$p &lt; 0.05$ (D)</p> Signup and view all the answers

What does the alpha value represent in null hypothesis significance testing?

<p>The probability of making a Type I error (D)</p> Signup and view all the answers

Which of the following is the null hypothesis in the mind-reading experiment described?

<p>The participant will get 50% of the answers correct by chance (A)</p> Signup and view all the answers

What is the primary reason why increasing the sample size in the mind-reading experiment leads to a lower p-value?

<p>Larger samples provide more precise estimates of the true population value (B)</p> Signup and view all the answers

Which of the following is the primary purpose of setting an alpha value in null hypothesis significance testing?

<p>To control the probability of making a Type I error (A)</p> Signup and view all the answers

Which of the following is the most important factor in determining the likelihood of rejecting a true null hypothesis (making a Type I error)?

<p>The alpha value chosen by the researcher (C)</p> Signup and view all the answers

What is the primary goal of any statistical test?

<p>To determine if an observed effect in a sample is likely to represent a real effect in the population (B)</p> Signup and view all the answers

What is the significance level or alpha level in hypothesis testing?

<p>The threshold for determining whether the observed effect is statistically significant (C)</p> Signup and view all the answers

If the calculated p-value is smaller than the chosen alpha level, what can be concluded?

<p>The null hypothesis should be rejected, and the result is statistically significant (D)</p> Signup and view all the answers

What is the effect of a larger sample size on the likelihood of obtaining statistically significant results?

<p>It increases the likelihood of obtaining statistically significant results (A)</p> Signup and view all the answers

What is the relationship between effect size and the likelihood of obtaining statistically significant results?

<p>Larger effect sizes increase the likelihood of obtaining statistically significant results (D)</p> Signup and view all the answers

What is the null hypothesis in statistical testing?

<p>The hypothesis that the observed effect in the sample is due to chance (B)</p> Signup and view all the answers

More Like This

Use Quizgecko on...
Browser
Browser