Lecture Exam Questions

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Chapter 5

This activity contains 8 questions.

If two events are collectively exhaustive, the probability of their union is equal to

	0.
	0.50.
	1.00.
	Cannot be determined from the information given.

If two events are independent, the probability of their intersection is equal to

	0.
	0.50.
	1.00.
	Cannot be determined from the information given.

If event A and event B cannot occur at the same time, then events A and B are said to be

	mutually exclusive.
	statistically independent.
	collectively exhaustive.
	None of the above.

If either event A or event B must occur, then events A and B are said to be

	mutually exclusive.
	statistically independent.
	collectively exhaustive.
	None of the above.

All the events in the sample space that are not part of the specified event are called

	simple events.
	joint events.
	the sample space.
	the complement of the event.

Maricella is going to take a statistics examination and an accounting examination today. After studying most of yesterday for one or the other examination, she thinks the probability that she will pass the statistics examination is 0.60. And she thinks the probability that she will pass the accounting examination is 0.40. Assuming the two events are independent, identify the correct statement:

	The probability she will pass exactly one is 0.20.
	The probability she will pass one or the other or both is 0.24.
	The probability she will pass exactly one is 0.52.
	The probability she will pass both examinations is 1.00.

The probability that house sales will increase in the next 6 months is estimated to be 0.25. The probability that the interest rates on housing loans will go up in the same period is estimated to be 0.74. The probability that house sales or interest rates will go up during the next 6 months is estimated to be 0.89. The probability that both house sales and interest rates will increase during the next 6 months is:

	0.90
	0.705
	0.185
	0.10

According to a survey of American households, the probability that the residents own two cars if annual household income is over $25,000 is 80%. Of the households surveyed, 60% had incomes over $25,000 and 70% had two cars. The probability that the residents of a household own two cars and have an income over $25,000 a year is:

	0.12
	0.18
	0.22
	0.48

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