Statistics and probability - STAT 1201

The course aim to introduce students to statistics and probability.
The student will know the following concepts and measures. He will also be able to find these measures for real life problems.
For statistics:
Why we need statistics
Methods for presenting the data by tables and graphs.
Measures of central tendency: arithmetic mean, weighted mean, median, and mode.
Measures of dispersion: range, variance, standard deviation, coefficient of variation. Chebychev   inequality.
For the probability:
Counting techniques, permutations, and combinations
Principles of probability: random experiment, sample space, events, and algebra of events.
Probability: probability of an event, axioms of probability, conditional probability, independent events, and Bayes theorem.