Differences

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--- gcse_maths_probability [2026/02/12 08:40] – created hjb
+++ gcse_maths_probability [2026/02/13 09:00] (current) – hjb
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+<html>
+<div><span style="font-size:24px; font-weight:700; color:#fb923c; letter-spacing:1px; text-decoration:underline;">Probability</span></div>
+</html>
+**P1**
+record, describe and analyse the frequency of outcomes of probability experiments using tables and frequency trees
-P1 record, describe and analyse the frequency of outcomes of probability experiments using tables and frequency trees
+**P2**
+apply ideas of randomness, fairness and equally likely events to calculate expected outcomes of multiple future experiments
-P2 apply ideas of randomness, fairness and equally likely events to calculate expected outcomes of multiple future experiments
+**P3**
+relate relative expected frequencies to theoretical probability, using appropriate language and the 0-1 probability scale
-P3 relate relative expected frequencies to theoretical probability, using appropriate language and the 0-1 probability scale
+**P4**
+apply the property that the probabilities of an exhaustive set of outcomes sum to one; apply the property that the probabilities of an exhaustive set of mutually exclusive events sum to one
-P4 apply the property that the probabilities of an exhaustive set of outcomes sum to one; apply the property that the probabilities of an exhaustive set of mutually exclusive events sum to one
+**P5**
+understand that empirical unbiased samples tend towards theoretical probability distributions, with increasing sample size
-P5 understand that empirical unbiased samples tend towards theoretical probability distributions, with increasing sample size
+**P6**
+enumerate sets and combinations of sets systematically, using tables, grids, Venn diagrams and tree diagrams
-P6 enumerate sets and combinations of sets systematically, using tables, grids, Venn diagrams and tree diagrams
+**P7**
+construct theoretical possibility spaces for single and combined experiments with equally likely outcomes and use these to calculate theoretical probabilities
-P7 construct theoretical possibility spaces for single and combined experiments with equally likely outcomes and use these to calculate theoretical probabilities
+**P8**
+calculate the probability of independent and dependent combined events, including using tree diagrams and other representations, and know the underlying assumptions
-P8 calculate the probability of independent and dependent combined events, including using tree diagrams and other representations, and know the underlying assumptions
+**P9**
+calculate and interpret conditional probabilities through representation using expected frequencies with two-way tables, tree diagrams and Venn diagrams
-P9 calculate and interpret conditional probabilities through representation using expected frequencies with two-way tables, tree diagrams and Venn diagrams
-P1 record, describe and analyse the frequency of outcomes of probability experiments using tables and frequency trees
-P2 apply ideas of randomness, fairness and equally likely events to calculate expected outcomes of multiple future experiments
-P3 relate relative expected frequencies to theoretical probability, using appropriate language and the 0-1 probability scale
-P4 apply the property that the probabilities of an exhaustive set of outcomes sum to one; apply the property that the probabilities of an exhaustive set of mutually exclusive events sum to one
-P5 understand that empirical unbiased samples tend towards theoretical probability distributions, with increasing sample size
-P6 enumerate sets and combinations of sets systematically, using tables, grids, Venn diagrams and tree diagrams
-P7 construct theoretical possibility spaces for single and combined experiments with equally likely outcomes and use these to calculate theoretical probabilities
-P8 calculate the probability of independent and dependent combined events, including using tree diagrams and other representations, and know the underlying assumptions
-P9 calculate and interpret conditional probabilities through representation using expected frequencies with two-way tables, tree diagrams and Venn diagrams