Inferential Statistics for Psychology Studies

Instructions:

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

question 1 of 3

A teacher wants to compare the reading comprehension skills of children with learning disabilities and children without learning disabilities. Which statistical test should she use to make this comparison?

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1. A teacher wants to compare children of high, medium, and low family incomes on their satisfaction with the school lunch program. Which statistical test should be used to make this comparison?

2. A researcher asks a group of students to complete a survey that measures maturity. She finds that the average score for girls is higher than the average score for boys, with a p-value of 0.03. What should she conclude from this p-value?

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About This Quiz & Worksheet

By utilizing sample research scenarios, this quiz and worksheet will test what you know about inferential statistics for psychology studies. You'll also need to define terminology related to this topic.

Quiz & Worksheet Goals

See how well you can answer questions on the following:

  • Identifying the statistical test that should be used for a sample comparison
  • Drawing a conclusion from the p-value in a given example
  • Recognizing appropriate use of an Analysis of Variance
  • The term for an educated guess in a psychology study

Skills Practiced

  • Defining key concepts - ensure that you can accurately define main phrases, such as Analysis of Variance and p-value
  • Reading comprehension - ensure that you draw the most important information from the related lesson on inferential statistics for psychology studies
  • Interpreting information - verify that you can read information regarding sample research studies and interpret it correctly

Additional Learning

For deeper insight into psychology research, review the accompanying lesson called Inferential Statistics for Psychology Studies. Objectives covered by this lesson include the following:

  • Define inferential statistics
  • Examine two types of inferential statistics
  • Know what a t-test is
  • Understand Analysis of Variance (ANOVA)
  • Recognize what the p-value tells us
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