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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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References
m11-5.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Mean
Definition: The arithmetic average of a set of data values.
Term: Median
Definition: The middle value in a dataset when the values are arranged in order.
Term: Mode
Definition: The value that appears most frequently in a dataset.
Term: Sample Space (S)
Definition: The set of all possible outcomes from a probabilistic experiment.
Term: Event
Definition: A subset of the sample space that represents specific outcomes of interest.
Term: Classical Definition of Probability
Definition: In a case of equally likely outcomes, the probability of an event is the ratio of favorable outcomes to the total number of outcomes.