https://practical-goldstine-828895.netlify.app/tag/statistics/StatisticsWowchemy (https://wowchemy.com)en-usFri, 01 Jan 2021 00:00:00 +0000https://practical-goldstine-828895.netlify.app/media/icon_hua2ec155b4296a9c9791d015323e16eb5_11927_512x512_fill_lanczos_center_2.pnghttps://practical-goldstine-828895.netlify.app/tag/statistics/https://practical-goldstine-828895.netlify.app/course/example/stats/Fri, 01 Jan 2021 00:00:00 +0000https://practical-goldstine-828895.netlify.app/course/example/stats/<p>Introduction to statistics for data science.</p> <p> <i class="fas fa-clock pr-1 fa-fw"></i> 1-2 hours per week, for 8 weeks</p> <h2 id="learn">Learn</h2> <p>The general form of the <strong>normal</strong> probability density function is:</p> <p>$$ f(x) = \frac{1}{\sigma \sqrt{2\pi} } e^{-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^2} $$</p> <div class="alert alert-note"> <div> The parameter $\mu$ is the mean or expectation of the distribution. $\sigma$ is its standard deviation. The variance of the distribution is $\sigma^{2}$. </div> </div> <h2 id="quiz">Quiz</h2> <details class="spoiler " id="spoiler-2"> <summary>What is the parameter $\mu$?</summary> <p>The parameter $\mu$ is the mean or expectation of the distribution.</p> </details>