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3. Employees of a local college have been classified according to gender and job type. Calculate the following: a. Construct three separate probability tables: (You

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3. Employees of a local college have been classified according to gender and job type. Calculate the following: a. Construct three separate probability tables: (You will need to add the row/column totals as needed) a. Total probability b. Row probability c. Column probability If an employee is selected at random, what is the probability that the employee is male? If an employee is selected at random, what is the probability that the employee is male and salaried staff? If an employee is selected at random, what is the probability that the employee is female, given that the employee is a salaried member of the staff? If an employee is selected at random, what is the probability that the employee is female or works as a member of the faculty? If an employee is selected at random, what is the probability that the employee is female or works as an hourly staff member? If an employee is selected at random, what is the probability that the employee is a member of the faculty? If an employee is selected at random, what is the probability that the employee is a member of the hourly staff, given that the employee is female? 4. Answer the following probability questions: What is the probability that an even number appears on the toss of a die? What is the probability that a king appears in drawing a single card from a deck of 52 cards? What is the probability of at least one tail in the toss of three fair coins? Container 1 has 8 items, 3 of which are defective. Container 2 has 5 items, 2 of which are defective. If one item is drawn from each container, what is the probability that both items are defective? In a particular NE college, the probability a professor receives the Wall Street Journal is .7. The probability a professor receives New York Times is .3. The probability a professor receives both the Wall Street Journal and the New York Times is .2. What is the probability a professor receives the Wall Street l'nurnnl nr fhn Now Vnrl( Tfmpc"

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