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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power. In complex studies ...

  3. Experimental uncertainty analysis - Wikipedia

    en.wikipedia.org/wiki/Experimental_uncertainty...

    Essentially, the mean is the location of the PDF on the real number line, and the variance is a description of the scatter or dispersion or width of the PDF. To illustrate, Figure 1 shows the so-called Normal PDF , which will be assumed to be the distribution of the observed time periods in the pendulum experiment.

  4. Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Design_of_experiments

    The use of a sequence of experiments, where the design of each may depend on the results of previous experiments, including the possible decision to stop experimenting, is within the scope of sequential analysis, a field that was pioneered [12] by Abraham Wald in the context of sequential tests of statistical hypotheses. [13]

  5. Optimal experimental design - Wikipedia

    en.wikipedia.org/wiki/Optimal_experimental_design

    Design and Analysis of Experiments. Handbook of Statistics. pp. 1149–1199. Majumdar, D. "Optimal and Efficient Treatment-Control Designs". Design and Analysis of Experiments. Handbook of Statistics. pp. 1007–1054. Stufken, J. "Optimal Crossover Designs". Design and Analysis of Experiments. Handbook of Statistics. pp. 63–90.

  6. Factorial experiment - Wikipedia

    en.wikipedia.org/wiki/Factorial_experiment

    This experiment is an example of a 2 2 (or 2×2) factorial experiment, so named because it considers two levels (the base) for each of two factors (the power or superscript), or #levels #factors, producing 2 2 =4 factorial points. Cube plot for factorial design . Designs can involve many independent variables.

  7. Experimental data - Wikipedia

    en.wikipedia.org/wiki/Experimental_data

    Experimental data in science and engineering is data produced by a measurement, test method, experimental design or quasi-experimental design. In clinical research any data produced are the result of a clinical trial. Experimental data may be qualitative or quantitative, each being appropriate for different investigations.

  8. Completely randomized design - Wikipedia

    en.wikipedia.org/wiki/Completely_randomized_design

    An example of an unrandomized design would be to always run 2 replications for the first level, then 2 for the second level, and finally 2 for the third level. To randomize the runs, one way would be to put 6 slips of paper in a box with 2 having level 1, 2 having level 2, and 2 having level 3.

  9. Dynamic light scattering - Wikipedia

    en.wikipedia.org/wiki/Dynamic_light_scattering

    It is important to note that the size determined by dynamic light scattering is the size of a sphere that moves in the same manner as the scatterer. So, for example, if the scatterer is a random coil polymer, the determined size is not the same as the radius of gyration determined by static light scattering. It is also useful to point out that ...