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courses:ast201:3 [2023/10/22 05:34] – [1. Accuracy and precision] asadcourses:ast201:3 [2023/10/22 05:37] (current) – [2. Population and sample] asad
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 [[https://colab.research.google.com/drive/1Pc1gv27ywDHavjQiNsZESRY0nij-KHAh?usp=sharing|{{:courses:ast201:stars-iron.png?nolink|}}]] [[https://colab.research.google.com/drive/1Pc1gv27ywDHavjQiNsZESRY0nij-KHAh?usp=sharing|{{:courses:ast201:stars-iron.png?nolink|}}]]
  
-In this example, the velocities of 50 stars perpendicular to the Galactic plane are plotted as a bar-chart histogram. The stars are divided into two sets: 25 stars are iron-rich and the other 25 stars are iron-poor. The iron-poor stars have a greater dispersion of velocities as evident from the plot. The mean and the standard deviation are shown as vertical lines and shades, respectively.+In this example, the velocities of 50 stars perpendicular to the [[uv:mw|Galactic plane]] are plotted as a bar-chart histogram. The stars are divided into two sets: 25 stars are iron-rich and the other 25 stars are iron-poor. The iron-poor stars have a greater dispersion of velocities as evident from the plot. The mean and the standard deviation are shown as vertical lines and shades, respectively.
  
 Standard deviation is sometimes better than variance in describing physical phenomena because $\sigma$ has the same unit as $\mu$, but the units are squared in $\sigma^2$ statistic. In this example, the variance among iron-rich stars is $57.25$ km$^2$ s$^{-2}$ whereas the standard deviation is $7.57$ km s$^{-1}$. Standard deviation is sometimes better than variance in describing physical phenomena because $\sigma$ has the same unit as $\mu$, but the units are squared in $\sigma^2$ statistic. In this example, the variance among iron-rich stars is $57.25$ km$^2$ s$^{-2}$ whereas the standard deviation is $7.57$ km s$^{-1}$.
courses/ast201/3.1697974455.txt.gz · Last modified: 2023/10/22 05:34 by asad

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