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TABLE 9-2
A student claims that he can correctly identify whether a person is a business major or an agriculture major by the way the person dresses. Suppose in actuality that if someone is a business major, he can correctly identify that person as a business major 87% of the time. When a person is an agriculture major, the student will incorrectly identify that person as a business major 16% of the time. Presented with one person and asked to identify the major of this person (who is either a business or an agriculture major) , he considers this to be a hypothesis test with the null hypothesis being that the person is a business major and the alternative that the person is an agriculture major.
-Referring to Table 9-2, what would be a Type II error?
Multiple Regression
A statistical technique used to predict the outcome of a dependent variable based on multiple independent variables.
Hypotheses
Hypotheses are formulated statements that present a proposed explanation to some phenomena, which can be tested through further investigation and experimentation.
Variation
In statistics, it refers to the measure of the spread or dispersion of a set of data points or values in a dataset.
Explanatory Variables
Variables in a statistical model that are used to explain variance in the dependent variable; also known as independent variables.
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