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804. Objective 804: Identify a faulty interpretation of data due to bias or experimental error. Identify a faulty interpretation of data due to bias or experimental error. Key concepts/skills: Level 1: Define key vocabulary. List possible sources of bias or error.

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804

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  1. 804 Objective 804: Identify a faulty interpretation of data due to bias or experimental error.

  2. Identify a faulty interpretation of data due to bias or experimental error. Key concepts/skills: Level 1: Define key vocabulary. List possible sources of bias or error. Level 2: Given a description of experiment or data collection, identify the possible source of bias or error. Level 3: Given a description of experiment or data collection describe methods or procedures to eliminate bias or error.

  3. Identify a faulty interpretation of data due to bias or experimental error. Key vocabulary: bias experimental error (review conclusion)

  4. Identify a faulty interpretation of data due to bias or experimental error. I. Bias A. What is bias 1. A wish or expectation that an experiment will lead to a certain conclusion. 2. Example: If a pharmaceutical company is testing its own drug, the company and its employees want the drug to work so they can market it and make money.

  5. Identify a faulty interpretation of data due to bias or experimental error.

  6. Identify a faulty interpretation of data due to bias or experimental error. II. Guarding against Experimental errors A. Methods 1. Measure more than once 2. Review data 3. repeat experiment

  7. Identify a faulty interpretation of data due to bias or experimental error. III. Guarding against Bias A. Methods 1. double-blind testing- researchers nor subjects know who gets what treatment 2. placebo- artificial treatment 3. Independent researcher- researchers who do not have an interest in the success or failure of a product or idea

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