Asked by Madhu Keerthana on May 30, 2024
Verified
The higher the kurtosis,the more area the histogram has in the middle rather than in the tails.
Kurtosis
A measure of the "tailedness" of the probability distribution of a real-valued random variable, indicating how the tails differ from the normal distribution.
Histogram
A type of bar graph used in statistics to represent the distribution of a dataset by showing the frequencies of different intervals of values.
Tails
Refers to the extreme ends of the distribution curve, highlighting areas of very low probability in statistical analysis.
- Understand the concept of kurtosis and how it affects data distribution.
Verified Answer
MC
Matthew CopelandJun 02, 2024
Final Answer :
False
Explanation :
Kurtosis measures the "tailedness" of the distribution. A higher kurtosis indicates a distribution with heavier tails, meaning more of the distribution's area is in the tails rather than the middle.
Learning Objectives
- Understand the concept of kurtosis and how it affects data distribution.