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1. Concepts & Definitions
1.1. Experiment, observation, and sample space
1.2. Sample space: Venn and Tree diagram
1.3. Simple and composite events
1.4. Three definitions of probability
1.5. Law of large numbers and its consequences
1.6. Frequency and empirical probability
2. Problem & Solution
2.4. Frequency of categories from tables
2.5. Simple and marginal probabilities
2.6. Conditional probabilities
Calculating probability using frequency from a data base
Calculating probability using frequency from a data base
The next figure contains an illustration of an experiment that collects data about product flow at a certain process on a port and classifies it according to two values on two categories: importation or exportation flow, and Process Time (takes) ≤ 5 , or > 5 hours.
Data compilation
Data compilation
The next table summarizes the result after the collection of one hundred values for the process.
The section will show how from this data collection is possible to compute the probability of each event. But, first let's start to create some programs in Python that will help us to understand more deeply the concepts.
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