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.

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Data Science in Finance: 9-Book Bundle

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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
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  • Machine Learning in Finance using Python

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