Basic Statistical Methods in Experimental Design
Training Provider: SINGAPORE UNIVERSITY OF SOCIAL SCIENCES
Course Reference: TGS-2023037288
S$438
Original: S$1,461
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About This Course
MTH353 Basic Statistical Methods in Experimental Design examines how to design experiments, carry them out and analyse the data they yield. Various designs are discussed and their respective differences, advantages and disadvantages noted. Moreover, it focuses on the connection between the experiment and the model that the experimenter can develop from the results of the experiment. There are numerous examples based on real-world applications of experimental design. The course is relevant to those interested in in the design, conduct and analysis of experiments in the engineering and social sciences.
What You'll Learn
1 Determine the experimental unit, response variable, factor(s) and level(s) of a basic experiment
2 Demonstrate the role of randomisation and replication in inferring causation
3 Implement a completely randomised design
4 Construct the ANOVA table in R
5 Compute the minimum number of replicates in a completely randomized design to achieve a given level of power
6 Execute pairwise tests of differences in means in R to understand a significant overall F-test
2 Demonstrate the role of randomisation and replication in inferring causation
3 Implement a completely randomised design
4 Construct the ANOVA table in R
5 Compute the minimum number of replicates in a completely randomized design to achieve a given level of power
6 Execute pairwise tests of differences in means in R to understand a significant overall F-test
Entry Requirements
Diploma or an equivalent qualification from a recognised institution
Course Details
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