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Experiments and observational Studies

by David Spade, PhD
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    About the Lecture

    The lecture Experiments and observational Studies by David Spade, PhD is from the course Statistics Part 1. It contains the following chapters:

    • Experiments and observational studies
    • Why do Observational Studies?
    • Designing an Experiment
    • Principles of Experimental Design
    • Diagramming an Experiment
    • Experiments and Surveys
    • Placebos and their Uses
    • Randomized Block Designs

    Included Quiz Questions

    1. We have conducted a retrospective study.
    2. We have conducted a survey.
    3. We have conducted a prospective study.
    4. The information provided in this question is not sufficient to determine what kind of study has been conducted.
    1. Observational studies allow us to examine the relationship between two variables.
    2. Observational studies allow us to establish cause and effect relationships between two variables.
    3. Observational studies allow us to determine whether we have found the explanatory variables that have the largest effect on the response.
    4. Observational studies are not useful to us in any measurable way.
    1. In an experiment, the researcher assigns treatments, while in an observational study, treatments are not assigned.
    2. In an observational study, the researcher assigns treatments, while in an experiment, treatments are not assigned.
    3. Experiments can be used to study relationships between two variables, while observational studies cannot be used in this way.
    4. An observational study allows us to infer cause and effect relationships, while experiments do not.
    1. We say that these variables are confounded.
    2. We say that these are lurking variables.
    3. We say that these variables are factors.
    4. We say that these variables are treatments.
    1. Non-human individuals on whom experiments are performed.
    2. Numbers involved in experiments.
    3. The one who conducts the experiments.
    4. The one who pays for the experiments.
    5. The one who create hurdles in the experiment.
    1. Individuals on whom experiments are performed.
    2. Numbers involved in experiments.
    3. The one who conducts the experiments.
    4. The one who pays for the experiments.
    5. The one who create hurdles in the experiment.
    1. A control treatment is a baseline measurement used to help decide whether a treatment has effect on the response.
    2. A control treatment is a complex tool used to help decide whether a treatment has effect on the independent variable.
    3. A control treatment is a false replication of the original treatment.
    4. A control treatment is a combination of statistical noise.
    5. A control treatment is one which has no effect on the response.
    1. Single-blind.
    2. One-blind.
    3. Triple blind.
    4. No-bind.
    5. Single-bind.
    1. Double-blind.
    2. Both-blind.
    3. One-blind.
    4. Triple blind.
    5. Double-bind.

    Author of lecture Experiments and observational Studies

     David Spade, PhD

    David Spade, PhD


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