Class 9 Exam  >  Class 9 Videos  >  How to calculate Standard Deviation and Variance - Stastistics

How to calculate Standard Deviation and Variance - Stastistics Video Lecture - Class 9

FAQs on How to calculate Standard Deviation and Variance - Stastistics Video Lecture - Class 9

1. How is standard deviation calculated?
Ans. Standard deviation is calculated by finding the square root of the variance. To calculate the standard deviation, follow these steps: 1. Calculate the mean (average) of the data set. 2. Subtract the mean from each data point and square the result. 3. Find the average of the squared differences obtained in step 2. 4. Take the square root of the result obtained in step 3. This is the standard deviation.
2. How is variance calculated?
Ans. Variance is calculated by finding the average of the squared differences between each data point and the mean. To calculate the variance, follow these steps: 1. Calculate the mean (average) of the data set. 2. Subtract the mean from each data point and square the result. 3. Find the average of the squared differences obtained in step 2. This is the variance.
3. What does standard deviation tell us?
Ans. Standard deviation is a measure of the dispersion or spread of data in a data set. It tells us how much the data points deviate from the mean. A higher standard deviation indicates greater variability or dispersion, while a lower standard deviation indicates less variability or dispersion.
4. Why is standard deviation important in statistics?
Ans. Standard deviation is important in statistics because it provides valuable information about the variability or spread of data. It helps us understand the distribution of values within a data set and compare different data sets. Standard deviation is widely used in inferential statistics, hypothesis testing, and constructing confidence intervals.
5. How can standard deviation and variance be used in decision-making?
Ans. Standard deviation and variance can be used in decision-making by providing insights into the variability or spread of data. For example, in finance, standard deviation is used to measure the risk associated with an investment. A higher standard deviation indicates a riskier investment, while a lower standard deviation implies less risk. Similarly, in quality control, standard deviation and variance can be used to assess the consistency and reliability of a manufacturing process.
Related Searches

How to calculate Standard Deviation and Variance - Stastistics Video Lecture - Class 9

,

Sample Paper

,

mock tests for examination

,

Objective type Questions

,

past year papers

,

How to calculate Standard Deviation and Variance - Stastistics Video Lecture - Class 9

,

Previous Year Questions with Solutions

,

Summary

,

How to calculate Standard Deviation and Variance - Stastistics Video Lecture - Class 9

,

Free

,

Semester Notes

,

practice quizzes

,

video lectures

,

Exam

,

ppt

,

pdf

,

shortcuts and tricks

,

Extra Questions

,

Important questions

,

Viva Questions

,

study material

,

MCQs

;