Undergraduate Certificate in Statistical Concepts and Applications
-- ViewingNowThe Undergraduate Certificate in Statistical Concepts and Applications is a compact yet powerful course that equips learners with fundamental statistical knowledge and practical skills. Its importance lies in the growing demand for data-driven decision-making across industries, making statistical literacy a valuable asset.
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โข Introduction to Statistics: Descriptive statistics, data distribution, and data collection methods.
โข Probability Theory: Concepts of probability, conditional probability, and independent events.
โข Statistical Inference: Hypothesis testing, confidence intervals, and p-values.
โข Regression Analysis: Simple and multiple linear regression, model selection, and residual analysis.
โข Analysis of Variance (ANOVA): One-way and two-way ANOVA, randomized block design, and factorial analysis.
โข Applied Probability Distributions: Discrete and continuous probability distributions, including normal, t, chi-square, and F distributions.
โข Nonparametric Statistics: Rank-based tests, Mann-Whitney U test, Wilcoxon signed-rank test, and Kruskal-Wallis test.
โข Multivariate Analysis: Principal component analysis, factor analysis, and cluster analysis.
โข Design of Experiments: Experimental designs, factorial designs, and randomization.
โข Statistical Quality Control: Control charts, process capability, and acceptance sampling.
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