Confidence Interval for a Population mean, with an Unknown Population Variance

If the population variance is not known, then we do the following change to the above confidence interval formula:

  1. Substitute the population variance (s) with the sample variance (s)
  2. Us t-distribution instead of normal distribution (explained in the following pages)

We use t-distribution because the use of sample variance introduces extra uncertainty as s varies from sample to sample.

Example

We take a sample of 16 stocks from a large population with a mean return of 5.2% and a standard deviation of 1.2%. The population standard deviation is not known.

Calculate the 95% confidence interval for the population mean.

The confidence interval will be:

The value of t is observed from the t-table.

Related Downloads

Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book includes PDFs, explanations, instructions, data files, and R code for all examples.

Get the Bundle for $39 (Regular $57)
JOIN 30,000 DATA PROFESSIONALS

Free Guides - Getting Started with R and Python

Enter your name and email address below and we will email you the guides for R programming and Python.

Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.