====== Chapter3: Central tendency and  Variability======

===== Guide =====

{{ :第三章:data.svg?500 |}}
  * Central tendency: The situation at the middle position of a distribution, also known as concentration trend, used to estimate and predict the overall situation.
  * Variability: describes the variability of data distribution, is a quantitative description of the extension of distribution and the degree of aggregation, used to measure the size of estimation and prediction errors.

===== Points =====
  - Learn to calculate mean, median, and mode;
  - Learn how to choose the appropriate central tendency for a given score distribution;
  - Learn to calculate standard deviation, interquartile range, and full range;
  - Learn how to choose the appropriate variability for a given score distribution.

===== Contents =====

==== Central tendency ====

  - [[arithmetic-mean-median-mode-english|Arithmetic mean, median, mode]]
  - [[the-shape-of-distribution-english|The shape of distribution and central tendency]]
  - [[the-comparison-of-central-tendency-english|The comparison of central tendency]]

==== Variability ====

  - [[full-range-standard-deviation-interquartile-range-english|Full range, standard deviation, interquartile range]]
  - [[the-compare-of-variability-english|The comparison of variability]]

==== Homework ====

  - [[homework3|Chapter3 homework of 2023]]
  - [[2024homework3|Chapter3 homework of 2024]]