If a distribution is not symmetric and has a tail predominantly on one side, which feature is describing this shape?

Unlock all questions

This demo includes only 20 questions. Upgrade to access hundreds of questions, flashcards, exam simulations, and disable ads.

Full question bankExam simulationsFlashcards
From $9.99Unlock all

Master Barnard Statistics Concepts with our comprehensive quiz. Study with flashcards, multiple choice questions, all with clear explanations and hints. Prepare to excel in your statistics exam!

Multiple Choice

If a distribution is not symmetric and has a tail predominantly on one side, which feature is describing this shape?

Explanation:
Skewness is the measure of asymmetry in a distribution. When a distribution isn’t symmetric and has a tail predominantly on one side, that shape is described by skewness. If the tail stretches to the right, it’s right-skewed; if it stretches to the left, it’s left-skewed. The mean, median, and mode are all measures of center, and while their relative values can shift in skewed distributions, they do not describe the asymmetry itself.

Skewness is the measure of asymmetry in a distribution. When a distribution isn’t symmetric and has a tail predominantly on one side, that shape is described by skewness. If the tail stretches to the right, it’s right-skewed; if it stretches to the left, it’s left-skewed. The mean, median, and mode are all measures of center, and while their relative values can shift in skewed distributions, they do not describe the asymmetry itself.

More Multiple Choice Questions
Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy