Mathematics Homework Help

University of California Irvine Statistics & Probability Questions

 

please finish these questions after watching the videos please

1.Which of the following was offered as an example of continuous sample space?

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amazon ratings

zip codes

blood types

cholesterol levels

2.In probability, which represents the union of the event A and the event B?

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P(A or B)

P(A | B)

P(B | A)

P(sample space)

P(A and B)

3. In probability, which represents the intersection of the event A and the event B?

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P(sample space)

P(A | B)

P(B | A)

P(A or B)

P(A and B)

4.The rule of the complement, for some random event E, is that

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P(E) = 1 – P(not E)

P(E) = P(not E)

P(E) = 1 / P(not E)

P(not E) does not equal P(E)

5. In the box of chocolates example in which you eat the first chocolate you pick, the successive chocolate picks are

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randomized.

independent.

related.

dependent.

unrelated

6. In the pool example, we concluded that events DF and IC are dependent events because

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IC causes pool filters to get dirty faster.

we found that P(IC | DF) was different from P(IC).

a pool can have both IC and DF.

a pool can have DF and not have IC.

8.The confusion of the inverse is:

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confusing P(A) with P(not A)

confusing P(A | B) with P(B | A)

confusing P(A or B) with P(A and B)

confusing P(A) with P(B | A)

9.If “6ft+” stands for a human height of at least 6 feet, then P(6ft+ | man) is the probability

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of being a man but not one who is 6ft+ tall.

of being a man if the person is 6ft+ tall.

of being 6ft+ tall but not a man.

of being neither a man nor 6ft+ tall.

of being a man and being 6ft+ tall.

of being 6ft+ tall if the person is a man.

10. If “6ft+” stands for a human height of at least 6 feet, then we can see from the distribution of adult heights shown in the videos that

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P(man | 6ft+) = 1 – P(6ft+ | man)

P(man | 6ft+) < P(6ft+ | man)

P(man | 6ft+) > P(6ft+ | man)

P(man | 6ft+) = P(6ft+ | man)

13.In probability, a traditional two-way table displays what inside the inner cells of the table?

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conditional probabilities

joint probabilities

inverse probabilities

marginal probabilities

14. In probability, the rectangles making up a mosaic diagram are scaled to represent

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marginal probabilities.

inverse probabilities.

conditional probabilities.

joint probabilities.