Calculate s^2 & s: Intro to Stats Guide

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SUMMARY

The discussion focuses on the calculation of sample variance (s²) and sample standard deviation (s) in statistics. It clarifies that s represents the sample standard deviation, while s² denotes the sample variance. The key distinction between these two metrics lies in their denominators; sample variance and standard deviation use (N-1) instead of N, which is used for population calculations. A reference link to a detailed explanation is provided for further understanding.

PREREQUISITES
  • Understanding of basic statistical concepts
  • Familiarity with sample size and observations
  • Knowledge of variance and standard deviation definitions
  • Basic computational skills for statistical calculations
NEXT STEPS
  • Study the formula for calculating sample variance and standard deviation
  • Learn about the differences between sample and population statistics
  • Explore the concept of degrees of freedom in statistics
  • Review practical examples of calculating s² and s using real datasets
USEFUL FOR

This discussion is beneficial for students beginning their journey in statistics, educators teaching introductory statistics courses, and anyone looking to solidify their understanding of sample variance and standard deviation calculations.

matrix_204
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I was just wondering, this is a simple question, but i have started intro to stats, lol, but anyways i was wondering what s^2 and s is, like i was given a sample size and some observations. Now i was asked to calculate s^2 and s, how do i do that, and what is s^2 and s?
 
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s is sample standard deviation and s2 is sample variance. Here's one description: http://www.quickmba.com/stats/standard-deviation/. Computationally, they are only different from the population variance and standard deviaion by their denominators ((N-1) instead of N).
 

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