STAT 2120 Probability and Statistics for Engineers
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The STAT 2120 Probability and Statistics for Engineers course include sample spaces; likelihood, contingent probability and independence; Bayes' theorem; likelihood distributions; likelihood densities; pure mathematics of expected values; descriptive statistics; inferences regarding means that variances, and proportions; curve fitting, the strategy of statistical method and correlation. An introduction to internal control and reliability is provided.
Specific learning objectives:
1. Construct and interpret graphical displays for straightforward information sets; calculate and interpret measures for the centre and unfold of knowledge.
2. Work out the likelihood of assorted events mistreatment John Venn diagrams, tree diagrams, and therefore the addition and multiplication rules.
3. Describe the ideas of reciprocally exclusive events, contingent probability, dependent and independent events, and mathematician theorem.
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