Statistics

The aim of this course is to enable trainees to learn about statistical tools, applicable in a quality approach and for setting up experimental plans.

Descriptive statistics: single and double series, vocabulary and characteristics

Descriptive analysis of data

Fundamental concepts, Characteristics of central tendency and dispersion.
Link between two data, correlation coefficient, KHI test 2
Reproducibility, Repeatability, Reliability, Capabillity

Basic concepts of probability

History, probabilistic phenomena, notions of proof, outcome, sample space and events
Properties governing the calculation of probabilities arrangements, combinations, permutations

Random variables and different laws

Link between probability and statistics. Mathematical expectation, variance
and standard deviation. Change of variable.
Centered reduced variable, Bernoulli's law, binomial law, normal law, Poisson's law, geometric law,

Sampling, confidence interval

Sampling, estimation, confidence interval, hypothesis test and link between two variables.

Engineering Sciences and Techniques