Variance et écart type (Bac et concours postbac)

This episode (on random variables) is intended for high school juniors and seniors (scientific and economics/literary tracks) as well as students with a high school diploma and those in their first year of university preparing for the ACCÈS entrance exam (for business and management schools such as ESDES, ESSCA, and IESEG) or wishing to enter a post-baccalaureate science school (INSA, EISTI, ECE Paris, ISEP, ESIEE, EPITA, ESIGELEC, EFREI, ESMA Sudria, etc.). This episode may also be useful for students in preparatory classes (MPSI, PCSI, PTSI, ECS, ECE, ECT, BCPST, etc.) as well as medical students (PACES) or students in mathematics and economics bachelor's programs. The expected value provides information about a random variable, but this is insufficient. The standard deviation, calculated from the variance, indicates the dispersion of a random variable X around its expected value. Expected value is insufficient to characterize a distribution. Comparison of two distributions with the same support but different associated probabilities. Mean deviation of a random variable X. Variance. Standard deviation. Koenig-Huygens formula. Properties of variance and standard deviation during a linear transformation.   / mathsplusun     / mathsplusun     / mathsplusun      / @almusic5674     / al-music-916828658335421   © 2018 • Maths+1 [email protected] Eric Pruvost