Statistics (2) WST02/01 January 2022 | Edexcel International A Level Past Papers With Mark Scheme
Edexcel
International AS/A Level
Statistics (WST)
Jan
2022
2. Cumulative Distribution Functions: Deriving the probability density function, expected values, variance, and transformations involving continuous random variables.
3. Hypothesis Testing with Poisson Distribution: Constructing and evaluating critical regions, interpreting significance levels, and assessing real-world outcomes.
4. Piecewise Probability Density Function: Graphical sketching, integration for cumulative distribution, expected value analysis, and distribution skewness interpretation.
5. Binomial and Normal Approximations in Proportion Testing: Modeling binary outcomes, approximating binomial with normal distribution, and testing population proportion claims.
6. Sampling Distributions and Expectations: Defining sampling distribution, calculating the probability distribution and expected value of item totals under weighted scenarios.
7. Uniform Distribution Transformation: Analyzing transformations from area to side length, computing probabilities, and deriving variance through transformation of uniform random variables.
معلم موافق رایگان بودن است.
1. Poisson and Normal Approximation: Solving problems involving Poisson distribution and applying normal approximation to calculate probabilities and assess event frequency.2. Cumulative Distribution Functions: Deriving the probability density function, expected values, variance, and transformations involving continuous random variables.
3. Hypothesis Testing with Poisson Distribution: Constructing and evaluating critical regions, interpreting significance levels, and assessing real-world outcomes.
4. Piecewise Probability Density Function: Graphical sketching, integration for cumulative distribution, expected value analysis, and distribution skewness interpretation.
5. Binomial and Normal Approximations in Proportion Testing: Modeling binary outcomes, approximating binomial with normal distribution, and testing population proportion claims.
6. Sampling Distributions and Expectations: Defining sampling distribution, calculating the probability distribution and expected value of item totals under weighted scenarios.
7. Uniform Distribution Transformation: Analyzing transformations from area to side length, computing probabilities, and deriving variance through transformation of uniform random variables.

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