Ok, I practiced all the cute probability questions that supposedly cover this stuff and I did halfway ok on those. Now I look at these two practice questions for a test tomorrow and I"m like 'wtf, how'd he get those answers!?'
so please, help me out here and tell me exactly how you got the answers.
According to a survey, the probability that the residents own 2 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 2 cars and have an income over $25,000 is:
a) 0.12
b) 0.18
c) 0.22
d) 0.48
A company has two machines that produce widgets. An older machine produces 23% defective widgets, while the new machine produces only 8% defective widgets. In addition, the new machine produces 3 times as many widgets as the older machine does. What is the probability that a randomly chosen widget produced by the company is defective?
Thanks in advance.
EDIT: Since you're all so helpful, here's 'nother one:
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 .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 six months is:
a)0.10
b) 0.185
c) 0.705
d) 0.90
For the car and income question, that "70% had two cars." really screwed me over.
To be one of you can't take this test for me tomorrow
so please, help me out here and tell me exactly how you got the answers.
According to a survey, the probability that the residents own 2 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 2 cars and have an income over $25,000 is:
a) 0.12
b) 0.18
c) 0.22
d) 0.48
A company has two machines that produce widgets. An older machine produces 23% defective widgets, while the new machine produces only 8% defective widgets. In addition, the new machine produces 3 times as many widgets as the older machine does. What is the probability that a randomly chosen widget produced by the company is defective?
Thanks in advance.
EDIT: Since you're all so helpful, here's 'nother one:
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 .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 six months is:
a)0.10
b) 0.185
c) 0.705
d) 0.90
For the car and income question, that "70% had two cars." really screwed me over.
To be one of you can't take this test for me tomorrow