This course is intended primarily for an audience with no training in statistics and yet confronted repeatedly with the handling and analysis of data sets.
No prerequisites in mathematics is required except knowledge of basic math operations. Desire, curiosity and tenacity will allow to the student to keep under control the concepts, apparently complex, but which remain relatively simple. The using of Excel will be a good way to discover main concepts and definition
At the end of the course, the student should be able to handle:
– to present, describe, summarize the essential characteristics of a data set and bring out the information objectively
– He should therefore be able to describe the data, sort it, summarize it by key values (mean, standard deviation, for example), and summarize it in the form of tables or graphs
– He should be able to realize that the study description and summary is made on the population studied, and there is no extrapolation to a larger population (objective of inferential statistics) (distinguish between sample/population)
– Finally, he should be able to manipulate data sets, read statistical reports and make good use of appropriate methods to avoid false interpretation of numbers, that is to say to make an exact interpretation
Concepts and statistical methods will be addressed through numerous
examples that will be enriched by exercises mainly done with Excel
Introduction and Data Collection
Presenting Data in Tables and Charts
Numerical Descriptive Measures: central tendencies, dispersion
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Chapters of Probability
Basic Probability
Some Important Discrete Probability Distributions
The normal distribution
