Statistics 9ST0/01 June 2022 | Edexcel A Level Past Papers With Mark Scheme
Edexcel
A Level
Statistics (9ST0)
Jun
2022
2. Correlation evaluation—scatter plot identification of data entry error, effect of unit conversion on PMCC, impact of correction on correlation, debate on correlation between min and max height ranges
3. Experimental design—replication of abstract art perception study, control for bias, participant selection, data collection method, labeling neutrality, objective measurement strategy
4. Normal distribution limitations—skewness from whale spenders, cumulative and conditional probability using normal approximation, independence assumption, cap on spend affecting distribution tail
5. Binomial to normal approximation—ticket sales modeling, total concession revenue estimation, assumptions on ticket independence and sales certainty, revenue-based profit computation
6. Binomial modeling of rare events—hair loss estimation using scalp follicle count and loss rate, assumptions on independence and equal probability, evaluation of reasonableness
معلم موافق رایگان بودن است.
1. Distribution analysis—comparison of cumulative frequency graphs, inference of central tendency and spread, journey time decomposition, assumption on travel stages, external variability factors2. Correlation evaluation—scatter plot identification of data entry error, effect of unit conversion on PMCC, impact of correction on correlation, debate on correlation between min and max height ranges
3. Experimental design—replication of abstract art perception study, control for bias, participant selection, data collection method, labeling neutrality, objective measurement strategy
4. Normal distribution limitations—skewness from whale spenders, cumulative and conditional probability using normal approximation, independence assumption, cap on spend affecting distribution tail
5. Binomial to normal approximation—ticket sales modeling, total concession revenue estimation, assumptions on ticket independence and sales certainty, revenue-based profit computation
6. Binomial modeling of rare events—hair loss estimation using scalp follicle count and loss rate, assumptions on independence and equal probability, evaluation of reasonableness

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