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TABLE 2-6
A sample of 200 students at a Big-Ten university was taken after the midterm to ask them whether they went bar hopping the weekend before the midterm or spent the weekend studying, and whether they did well or poorly on the midterm. The following table contains the result.
-Referring to Table 2-6, percent of the students in the sample spent the weekend studying and did well on the midterm.
Continuous Random Variable
A variable that can assume an infinite number of values within a given range, where the outcomes cannot be counted but are measured.
Density Function
A mathematical function that describes the probability distribution of a continuous random variable, indicating how the total probability is distributed over the various possible values the variable can take.
Symmetric
A characteristic of shapes, equations, or other entities that remain unchanged when reflected, rotated, or transformed in specific ways.
Tails
The ends of a distribution curve, referring to the extreme values far from the mean in a probability distribution.
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