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Intermediate Statistics Assignment Homework Help

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Among the  key topics, students undertaking Intermediate Statistics should learn are  logistic regression, multiple regressions, repeated measure ANOVA and Factorial,  Bayes’ theorem, Basic  Statistics: Mean, Median, Mode, Standard Deviation, Minimum, Maximum,  Quartiles, Computer data processing using existing packages, Convergence of  random variables, Confidence Intervals for the Mean and Variance, Data mining   and statistics based Natural Language Processing, Exploratory Factor Analysis  and Principal Components, Graphical Methods: Time Series Plots, Histograms,  Discrete: Uniform, Binomial, Poisson, Data Coding and Exploratory Analysis,  Gauss Markov theorem, Gage R&R (Measurement System Analysis), Logistic  Regression and Discriminant Analysis, Markov Chain Monte Carlo, Multivariate  Analysis of Variance and Canonical Correlation, Random and mixed effects,  Selecting and Interpreting Inferential Statistics, Univariate and multivariate   distributions, Vapnik-Chervonenkis Theory.

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