After this course, the student is expected to be able to:

• distinguish stochastic and deterministic phenomena and experiments
• using enumeration methods and basic probability tools
• apply simple probability calculus
• recognize the practical value and importance of probabilities in the understanding of stochastic phenomena and experiments
• describe and summarize data
•  translate a research question into a statistical hypothesis  when given a data group and the type of experimental design or sampling procedure
• apply estimation and testing methods  in order to make data-based decisions
• identify the selected method’s assumptions  and keep in mind that it is required to apply checks for them
• comprehend and interpret correctly the statistical significance
• interpret results correctly, effectively, and in context without relying on statistical jargon
• comprehend the notion of uncertainty which is always contained in statistical inference
• critique data-based claims and evaluate data-based decisions

complete a research project that employs simple statistical inference comply to ethical issues.