Statistics 9ST0/01 June 2023 | Edexcel A Level Past Papers With Mark Scheme
Edexcel
A Level
Statistics (9ST0)
Jun
2023
2. Data visualization critique—interpretation of Olympic medal share trends, evaluation of host nation performance, limitations of grayscale charts, graphical clarity issues like labelling, axis scale, and legend absence
3. Venn diagram probability—intersection and union of product filter sets, calculation of conditional and joint probabilities, assessment of statistical independence, contextual reasoning on technological dependencies
4. Probability distributions in gaming—uniform and exponential distributions for spawn intervals, calculation of cumulative probabilities, Poisson modeling of counts, adjustment of mean to target probability thresholds
5. Ecological fallacy case—comparison of aggregate vs individual data correlations, Pearson′s coefficient calculation, regional vs person-level inference conflict, explanation of aggregation bias effect
6. Conditional probability tree—removal rates by asbestos type, total removal probability, Bayes’ theorem for conditional classification, critique of investment decision based on observed vs conditional probabilities
معلم موافق رایگان بودن است.
1. Sampling strategy analysis—comparison of three survey methods, evaluation of cost, convenience, and response rate, recommendation based on practical constraints, suggestion to improve participation2. Data visualization critique—interpretation of Olympic medal share trends, evaluation of host nation performance, limitations of grayscale charts, graphical clarity issues like labelling, axis scale, and legend absence
3. Venn diagram probability—intersection and union of product filter sets, calculation of conditional and joint probabilities, assessment of statistical independence, contextual reasoning on technological dependencies
4. Probability distributions in gaming—uniform and exponential distributions for spawn intervals, calculation of cumulative probabilities, Poisson modeling of counts, adjustment of mean to target probability thresholds
5. Ecological fallacy case—comparison of aggregate vs individual data correlations, Pearson′s coefficient calculation, regional vs person-level inference conflict, explanation of aggregation bias effect
6. Conditional probability tree—removal rates by asbestos type, total removal probability, Bayes’ theorem for conditional classification, critique of investment decision based on observed vs conditional probabilities

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