Skewness in Statistics: Definition, Formula & Example Video

Instructions:

question 1 of 3

In a normal data distribution with a symmetric bell curve, what is the skewness?

Create Your Account To Take This Quiz

As a member, you'll also get unlimited access to over 79,000 lessons in math, English, science, history, and more. Plus, get practice tests, quizzes, and personalized coaching to help you succeed.

Try it risk-free for 30 days. Cancel anytime

2. In the graph indicating a negative distribution and skewed bell curve, what do A, B and C represent, respectively?

Create your account to access this entire worksheet
Quizzes, practice exams & worksheets
Certificate of Completion
Create an account to get started

Learn what you know about skewness in statistics with these study assessments. Answer quiz questions on areas of focus that include finding the skewness in a normal data distribution with a symmetric bell curve and the skew of a data set.

Quiz & Worksheet Goals

Use these study resources to find out how well you know how to:

• Interpret what data represent on a given graph of a negative distribution and skewed bell curve
• Find the skew of test scores
• Identify the skew of a given data set

Skills Practiced

• Critical thinking - apply relevant concepts to examine information about points on a graph that shows a negative distribution and skewed bell curve
• Problem solving - use acquired knowledge to solve skewness in statistics practice problems
• Interpreting information - verify that you can read information regarding the skewness in a normal data distribution with a symmetric bell curve

This lesson will help you gain a better understanding of skewness in statistics. The lesson is named Skewness in Statistics: Definition, Formula & Example and it will cover the following objectives:

• Understand the importance of calculating skewness in statistics
• Analyze data distribution of student incomes
• Explain the properties of skewed bell curves
• Recognize the difference between negative and positive skews
• Assess the standard deviation formula
Final Exam
Chapter Exam

Support