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Matrices and Vectors
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2n steps absorbing accept Hq ANOVA approximate assume average basic cells basic solution basic variables begin Binomial probability Binomial probability distribution calculated chapter Computer Projects confidence interval consider constraint critical value CTSS define degrees of freedom distributed with mean element elementary events equal equation estimate Exam example expected number feasible region Figure formula function Gambler's Ruin gives grommets Hq is true hypothesis testing indefinite integral independent zeroes inverse j\SQ Linear Programming LP problem Markov chain maximise maximum method minimise move Normal random variable Normally distributed optimal solution P(Going parameters pivotal Poisson distribution Poisson Process possible probability density function probability distribution procedure queue regression simple random walk slope solve stable probabilities standard deviation Standard Normal sum of squares Suppose t-distribution t-test total number transition probability matrix treatment variance a2 Write a program write('Input writeln