5. Statistics and Probability
The chapter delves into the fundamental principles of statistics and probability, emphasizing the importance of data collection and representation, and the measures of central tendency. It outlines how probability quantifies uncertainty and discusses sample spaces and events relevant to classical probability.
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Sections
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What we have learnt
- Statistics involves collecting, organizing, and interpreting data.
- Measures of central tendency include mean, median, and mode.
- Probability quantifies the likelihood of events occurring.
Key Concepts
- -- Mean
- The arithmetic average of a set of data values.
- -- Median
- The middle value in a dataset when the values are arranged in order.
- -- Mode
- The value that appears most frequently in a dataset.
- -- Sample Space (S)
- The set of all possible outcomes from a probabilistic experiment.
- -- Event
- A subset of the sample space that represents specific outcomes of interest.
- -- Classical Definition of Probability
- In a case of equally likely outcomes, the probability of an event is the ratio of favorable outcomes to the total number of outcomes.
Additional Learning Materials
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