Using the Raw Score Method to Compute the Correlation Coefficient


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question 1 of 3

Which of the following best describes why the correlation coefficient is important?

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1. In order to find a Pearson correlation, the distribution of the data must be _____.

2. You are a research assistant for an important study. The lead psychologist on the study hands you the following data and asks you to find the Pearson coefficient. Which of the following numbers would you use for your 'n' value?

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About This Quiz & Worksheet

Using this quiz and attached worksheet, you can evaluate how well you understand the spread of data. The quiz will assess your understanding of concepts like data distribution and Pearson correlations.

Quiz & Worksheet Goals

Use these assessment tools to measure your knowledge of:

  • Understanding the purpose of correlations
  • Define distribution data
  • Knowing what Pearson correlations require
  • Define Sigma

Skills practiced

This worksheet and quiz let you practice the following skills:

  • Critical thinking - apply relevant concepts to examine information about computing the correlation coefficient with the raw score method in a different light
  • Interpreting information - verify that you can read information regarding statistical procedures and interpret it correctly
  • Knowledge application - use your knowledge to answer questions about intervals and ratios

Additional Learning

You can learn more about computing the correlation coefficient with the raw score method by reviewing the lesson. It covers the following objectives:

  • Define correlation
  • Define Pearson correlation
  • Identify statistical procedure and normal distribution
  • Understanding computation