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Provided by: Creascience Introduction to the Design of ExperimentsDesign of Experiments |
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This course covers the fundamental concepts in statistics in a non-technical and applied way.
This session covers the fundamentals of statistics: the importance of recognizing the type of variables (role in the experiment and the values taken), descriptive statistics, relating variables, inferential statistics (mechanism, what is a p-value, the risks involved in statistical testing, confidence intervals). It also discusses the comparison of two groups using the T-test or Student test.
Then the training covers the fundamentals of design of experiments: accounting for variability (randomization, replication, blocking and controls), the construction of experiments to compare 2 groups, more than 2 groups (factorial designs) as well as statistical tools for the analysis of the data collected from such experiments: Student Test (T-test), analysis of variance and multiple comparisons.
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Training
Provided by Creascience
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Introduction to the Design of Experiments
- Tools available to describe data: Descriptive statistics
- Tools for studying relationships between variables: Correlation Analysis
- Statistical inference and the logic behind statistical testing: confidence intervals, standard errors, pvalues
- Sources of variability, their impact and tools available to control them
- What replication, randomization, blocks and controls are for
- Integration of experimental constraints such as time, material heterogeneity, into experimental designs
- Control the risks of making wrong decisions
- Build your own designs: two-group designs, factorial designs
- Analyze data from experimental designs
- Detect interactions between factors
- Locate differences with mean comparison techniques
- Using real world data, understand and interpret the results
About The Training Provider: Creascience
Creascience - Creascience offers a wide array of training sessions in statistics aimed primarily at non-statisticians. We also provide specific training courses on statistical methods aimed at statisticians. People attend our training sessions to gain basic knowledge or to deepen some specific aspects. The training sessions are offered both in our offices and on-site, depending on the needs of the client. We...
