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This course introduces the fundamental concepts in statistics. The definition of statistics and basic concepts of statistics such as collection of data, data summary and presentation, probability distribution and sampling distribution will be introduced to the students in topic basic statistics. This course also teaches the students on how to make a statistical inference which are estimation and hypothesis testing. Apart from that, students will learn on how to run statistical test and analyze the results obtained. These skills will be taught in topic introductory linear regression (Simple linear regression, Least squares method, Test for linearity of regression and Pearson product moment correlation coefficient), analysis of variance (one-way and two-way ANOVA) and nonparametric statistics (The X2 test, Sign test, Mann-Whitney test, Kruskal Wallis test, Wilcoxonsigned rank test and Spearman rank correlation).
1. Ability to understand, apply and explain the basic concepts of statistics.
2. Ability to solve problems using suitable statistical inference.
3. Ability to construct the model and analyze the result from ANOVA table and simple linear regression.
4. Ability to apply the basic methodology of nonparametric statistics to solve engineering problems.
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