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Introduction to Probability – 2.03
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Probability I – OCR (H240)
In this course, Professor Duncan Lee (University of Glasgow) explores probability, covering Topics 2.03a, 2.03b, 2.03c, 2.03e, and 2.04a in the OCR A Level Mathematics A (H240) Specification. In the first mini-lecture, we introduce probability, discussing basic definitions and how to compute probabilities (Topic 2.03). In the second mini-lecture, we explore probability models and logical operators (Topics 2.03b, 2.03c, 2.03e). In the third mini-lecture, we learn about mutually exclusive and independent events (Topic 2.03a). In the fourth mini-lecture, we recall how to represent outcomes and probabilities with tree diagrams (Topic 2.03b). In the fifth mini-lecture, we discuss probability models describing discrete and continuous data (Topics 2.03e, 2.04a).
Introduction to Probability – 2.03
In this mini-lecture, we introduce Topic 2.03 with an exploration of probability and how to do basic computations. In particular, we consider: (i) various definitions of probability; (ii) careers and real-world applications that involve probability; (iii) the definitions of experiment, outcome, sample space (aka universal set), event, null set, frequency; (iv) using a decimal, percentage, or fraction to represent a probability; (v) how to interpret probabilities; (vi) how to compute probabilities using relative frequencies; and (vii) a probability computation involving a coin toss.
Cite this Lecture
APA style
Lee, D. (2023, September 22). Probability I – OCR (H240) - Introduction to Probability – 2.03 [Video]. MASSOLIT. https://massolit.io/courses/probability-i-ocr-h240/introduction-to-probability-2-03
MLA style
Lee, D. "Probability I – OCR (H240) – Introduction to Probability – 2.03." MASSOLIT, uploaded by MASSOLIT, 22 Sep 2023, https://massolit.io/courses/probability-i-ocr-h240/introduction-to-probability-2-03