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Probability and statistics assignment help at an affordable price

If you are looking for probability and statistics assignment help, you are at the right place. We have dedicated ourselves to ensuring that no student will get poor grades. We have a team of experienced tutors who are always available to ensure that every student has access to the best probability and statistics grades. We have ensured that our services are affordable enough for every student. What is more, by hiring an expert from us, you will never have to complain about late deliveries of assignments. Our tutors know the importance of deadlines, and therefore every assignment will always be delivered before its deadline.

The exhaustive list of topics in Probability And Statistics in which we provide Help with Homework Assignment and Help with Project is as follows:

  • Algebra of Sets: sets and classes, limit of a sequence of sets, rings, sigma-rings, fields, sigma-fields, monotone classes.
  • Probability: Classical, relative frequency and axiomatic definitions of probability, addition rule and conditional probability, multiplication rule, total probability, Bayes’ Theorem and independence, problems.
  • Random Variables: Discrete, continuous and mixed random variables, probability mass, probability density and cumulative distribution functions, mathematical expectation, moments, probability and moment generating function, median and quantiles, Markov inequality, Chebyshev’s inequality, problems.
  • Special Distributions: Discrete uniform, binomial, geometric, negative binomial, hypergeometric, Poisson, continuous uniform, exponential, gamma, Weibull, Pareto, beta, normal, lognormal, inverse Gaussian, Cauchy, double exponential distributions, reliability and hazard rate, reliability of series and parallel systems, problems.
  • Function of a random variable, problems.
  • Joint Distributions: Joint, marginal and conditional distributions, product moments, correlation and regression, independence of random variables, bivariate normal distribution, problems.
  • Transformations: functions of random vectors, distributions of order statistics, distributions of sums of random variables, problems.
  • Sampling Distributions: The Central Limit Theorem, distributions of the sample mean and the sample variance for a normal population, Chi-Square, t and F distributions, problems.
  • Descriptive Statistics: Graphical representation, measures of locations and variability.
  • Estimation: Unbiasedness, consistency, the method of moments and the method of maximum likelihood estimation, confidence intervals for parameters in one sample and two sample problems of normal populations, confidence intervals for proportions, problems.
  • Testing of Hypotheses: Null and alternative hypotheses, the critical and acceptance regions, two types of error, power of the test, the most powerful test and Neyman-Pearson Fundamental Lemma, tests for one sample and two sample problems for normal populations, tests for proportions, Chi-square goodness of fit test and its applications, problems.