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Lecture 4 Testing in the Classical Linear Model

A statistical hypothesis test is a method of making decisions using experimental data. A result is statistically significant if it is unlikely to have occurred by chance. These decisions are made using (null) hypothesis tests. A hypothesis can specify a particular value for a population parameter,

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Lecture 4 Testing in the Classical Linear Model

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    1. 1 Lecture 4 Testing in the Classical Linear Model

    2. A statistical hypothesis test is a method of making decisions using experimental data. A result is statistically significant if it is unlikely to have occurred by chance. These decisions are made using (null) hypothesis tests. A hypothesis can specify a particular value for a population parameter, say q=q0. Uses of hypothesis testing: - Check the validity of theories or models. - Check if new data can cast doubt on established facts.

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