Hypothesis Testing: Comparing the Null & Alternative Hypothesis

Instructions:

Choose an answer and hit 'next'. You will receive your score and answers at the end.

question 1 of 3

Which of the following is the best example of a null hypothesis?

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1. If the null hypothesis states, 'There is no relationship between the amount of sleep a person gets each night and the amount of coffee they drink,' which of the following could be an example of an alternative hypothesis for this study?

2. Which of the following is a p-value that would show statistical significance?

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About This Quiz & Worksheet

This quiz and worksheet test your understanding of the basics of hypothesis testing. Topics critical for passing the assessment are understanding the null and alternative hypotheses, statistical significance and how to phrase your findings.

Quiz & Worksheet Goals

Use these assessment tools to test your knowledge of:

  • The null and alternative hypotheses
  • The accepted p-value in psychology
  • How to assess statistical significance
  • How to correctly phrase your findings when the alternative hypothesis is true

Skills Practiced

This worksheet and quiz will help you practice the following skills:

  • Distinguishing differences- compare and contrast topics from the lesson, such as the null and alternative hypotheses
  • Problem Solving- use acquired knowledge to solve practice problems on correctly writing the results of a hypothesis test
  • Critical thinking- apply relevant concepts to examine information about p-values in a different context

Additional Learning

Understanding the null and alternative hypothesis, as well as statistical significance, is the first step to producing convincing scientific theories. Make sure you thoroughly understand this topic by reading the related lesson called Hypothesis Testing: Comparing the Null and Alternative Hypothesis. This lesson covers the following objectives:

  • Identify the null and alternative hypotheses
  • Explore the idea about relationships between variables
  • Learn about statistical significance
  • Learn how to phrase your findings
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