Q1. How can we take the measures of spread in a data?

Ans: We can keep a record of the measures of data using range, variance and standard deviation.

Q2. What is the range of data?

Ans: The Range of a dataset can be defined as the difference between the largest and smallest values in the data.

Q3. What is variance in data?

Ans: Variance is a statistical measure that represents the average of the squared differences from the mean. It gives you an idea of how spread out or dispersed the values in a dataset are.

Q4. What is the difference between variance and standard deviation?

Ans: Variance is used to measure the average squared deviation using the mean while Standard deviation is used to measure the average distance of a value from the mean.

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Measures of spread

Measures of spread

Measures of Spread – Range, Variance, and Standard Deviation

Data Analytics / By Ankit kumar

Learn how to keep a record of measures of spread using Range, Variance and standard deviation in this blog. These measures of spread are important factors which help to understand data efficiently.

Software Development
Data Science & Analytics
- Data Science
  - Generative AI
- Data Analytics
DSA
- CPP
- Java Developer
- Python
- General
Cybersecurity
- Cybersecurity
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BFSI

Software Development
Data Science & Analytics
- Data Science
  - Generative AI
- Data Analytics
DSA
- CPP
- Java Developer
- Python
- General
Cybersecurity
- Cybersecurity
DM & PM
- Digital Marketing
- Product Management
BFSI

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