The graphics calculator and the curriculum: The case of probability* Barry Kissane Murdoch University A graphics calculator may influence the curriculum in three kinds of ways: offering new opportunities for teaching and

Source URL: wwwstaff.murdoch.edu.au

• Probability distributions
• Office equipment
• Probability theory
• Calculator
• Graphing calculator
• Software calculator
• Scientific calculator
• Binomial distribution
• Normal distribution
• Probability
• Random variable
• TI-36

RANDPOLY: A Random Polynomial Generator Francis J. Wright School of Mathematical Sciences Queen Mary and Westfield College University of London Mile End Road, London E1 4NS, UK.

Source URL: reduce-algebra.com

• Algebra
• Polynomials
• Homogeneous polynomials
• Elementary algebra
• Monomial
• Polynomial
• Algebraic expression
• Variable
• Anonymous function
• Maple
• Polynomial ring
• Monomial order

Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems Anupam Datta Shayak Sen

Source URL: www.andrew.cmu.edu

• Statistics
• Mathematical analysis
• Statistical theory
• Probability
• Probability theory
• Regression analysis
• Probability distribution
• Expected value
• Conditional probability
• Random variable
• Joint probability distribution
• Errors and residuals

Cumulative Probabilities for the Standard Normal (Z) Distribution Values in the table correspond to the area under the curve of a standard normal random variable for a value at or below z .

Source URL: www.sjsu.edu

BACK S HIFT : Learning causal cyclic graphs from unknown shift interventions Dominik Rothenh¨ausler⇤

Source URL: papers.nips.cc

• Statistics
• Analysis
• Mathematical analysis
• Regression analysis
• Covariance and correlation
• Matrices
• Multivariate statistics
• Algebra of random variables
• Covariance
• Matrix
• Multivariate random variable
• Causality

RandNLA: Randomization in Numerical Linear Algebra: Theory and Practice Petros Drineas RPI

Source URL: www.drineas.org

• Probability theory
• Probability space
• Experiment
• Outcome
• Event
• Sample space
• Random variable
• Conditional probability
• Matrix
• Probability
• Stochastic process
• Probability distribution

Introduction Testing Covariance Matrices Testing Bandedness Power Analysis Simulation

Source URL: sas.uwaterloo.ca

• Statistics
• Mathematical analysis
• Probability
• Covariance and correlation
• Matrices
• Summary statistics
• Algebra of random variables
• Multivariate statistics
• Covariance
• Sample mean and covariance
• Variance
• Multivariate random variable

Stat Comput: 235–244 DOIs11222Manipulating and summarizing posterior simulations using random variable objects Jouni Kerman · Andrew Gelman

Source URL: www.stat.columbia.edu

Extreme Negative Dependence and Risk Aggregation Bin Wang∗ and Ruodu Wang† January 22, 2015 Abstract We introduce the concept of an extremely negatively dependent (END) sequence of random variables with a given commo

Source URL: sas.uwaterloo.ca

• Statistics
• Mathematical analysis
• Probability
• Probability distributions
• Algebra of random variables
• Probability theory
• Central limit theorem
• Variance
• Normal distribution
• Multivariate random variable
• Expected value
• Relationships among probability distributions

Mathematical Analysis of Algorithms. Exercises IV. Let X be a random variable with non-negative real values. Show that for any t > 0, • (0.5pt) 1 Pr(X ≥ t · E(X)) ≤ .

Source URL: www.math.tugraz.at