Postgraduate Certificate in Business Statistics Solutions
-- ViewingNowThe Postgraduate Certificate in Business Statistics Solutions is a comprehensive course designed to equip learners with critical analytical skills for data-driven decision making in business. This certificate course is vital in today's data-driven world, where businesses rely on statistical analysis to drive strategy and growth.
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⢠Descriptive Statistics: Measures of central tendency, measures of dispersion, measures of shape, and measures of relative standing.
⢠Probability Theory: Definitions and axioms of probability, conditional probability, joint and marginal probability, and Bayes' theorem.
⢠Random Variables and Probability Distributions: Types of random variables, probability mass functions, probability density functions, and cumulative distribution functions. Common discrete and continuous distributions including the Bernoulli, binomial, Poisson, uniform, exponential, and normal distributions.
⢠Sampling Distributions: Central Limit Theorem, sampling distributions of means and proportions, and the t-distribution.
⢠Point and Interval Estimation: Methods for point estimation, bias, mean squared error, and confidence intervals.
⢠Hypothesis Testing: Types of hypotheses, test statistics, p-values, and significance levels. One-sample, two-sample, and paired t-tests, and ANOVA. Chi-square tests for independence and goodness-of-fit.
⢠Linear Regression Analysis: Simple and multiple linear regression models, least squares estimation, hypothesis testing for regression coefficients, and model selection criteria.
⢠Analysis of Variance (ANOVA): One-way and two-way ANOVA models, partitioning of sums of squares, and multiple comparison procedures.
⢠Multivariate Analysis: Principal component analysis, factor analysis, cluster analysis, and discriminant analysis.
⢠Time Series Analysis: Autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models, seasonal models, and forecasting.
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