Asked by Morgan Freeman on Apr 29, 2024
Verified
Why are measures of central tendency and measures of variability important to a visual representation of the distribution of data?
Measures of Variability
Quantitative indicators that describe the spread or dispersion within a dataset, including range, variance, and standard deviation.
Central Tendency
A statistical measure that identifies a single value as representative of an entire distribution of data.
Visual Representation
The use of images, diagrams, graphs, or other visual formats to present data or information for easier understanding.
- Grasp the importance of measures of central tendency and variability in data representation.
Verified Answer
JB
Jenna BangelesMay 03, 2024
Final Answer :
Measures of central tendency indicate the one best score for describing a group of data,whereas measures of variability indicate how diverse,or different,scores are from one another.Together,these two measures can result in distributions that look different.
Learning Objectives
- Grasp the importance of measures of central tendency and variability in data representation.