Design and analysis of experiments lecture notes

  • How do you analyze the design of an experiment?

    The experimental design is a set of procedures that are designed to test a hypothesis.
    The process has five steps: define variables, formulate a hypothesis, design an experiment, assign subjects, and measure the dependent variable..

  • Principles of experiment design

    Types of Experimental Research Designs

    One-shot Case Study Research Design.One-group Pretest-posttest Research Design.Static-group Comparison..

  • Principles of experiment design

    Design of Experiments (DOE) is a tool used to identify which process inputs have a significant impact on the process output, and what the optimal levels of those inputs should be to achieve a desired result (output)..

  • What is experiment and experimental design?

    Experiments are used to study causal relationships.
    You manipulate one or more independent variables and measure their effect on one or more dependent variables.
    Experimental design create a set of procedures to systematically test a hypothesis..

Observational unit - The unit on which the response is measured. (This may not be the same as the experimental unit.) Page 6. Experimental Design.
⇨ Randomization helps to make fair or unbiased comparisons, but only in the sense of being fair or unbiased when averaged over a whole sequence of experiments. 

What are the basic principles in designing experiments?

Among the above considerations, replication and randomization are the most important basic principles in designing experiments

4 4 1 Replication 4 4 1 1 Functions of replication

To provide an estimate of the experimental error

The experimental error is the variation which exists among observations on experimental units treated alike

Why is there no method of estimating experimental error?

When there is no method of estimating experimental error, there is no way to determine whether observed differences indicate real differences or are due to inherent variation

To improve the precision of an experiment by reducing the standard deviation of a treatment mean


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