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img  CLOSE REVIEW

Unit 8: Distribution Types and Skewness

This review will guide you through an adaptive, research-backed study session. As you answer questions, we will actively assess your current understanding of the material. Questions will continue to be drawn until you have demonstrated mastery of each learning objective.

Reviews are graded based on completion. You will receive full credit for achieving 100% mastery or answering all questions.

Learning objectives for this review:

  • Identify and describe different types of distributions: normal, positively skewed, and negatively skewed.
  • Explain the impact of skewness on measures of central tendency.
  • Use Chebyshev’s Rule and the Empirical Rule to describe data distributions.