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Question
The basis for using a normal probability distribution to approximate the sampling distribution of
isa. Chebyshev's theorem
b. the empirical rule
c. the central limit theorem
d. Bayes' theorem
Answer
This answer is hidden. It contains 1 characters.
Related questions
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b. AVERAGE
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b. median
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Q:
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b. median
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Paul, a freshman at a local college just completed 15 credit hours. His grade report is presented below. Course
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C Biology
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A English
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On a December day, the probability of snow is .30. The probability of a "cold" day is .50. The probability of snow and a "cold" day is .15. Are snow and "cold" weather independent events?
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b. no
c. yes
d. only when they are also mutually exclusive
Q:
If two events are independent, then
a. they must be mutually exclusive
b. the sum of their probabilities must be equal to one
c. the probability of their intersection must be zero
d. None of the other answers is correct.
Q:
The multiplication law is potentially helpful when we are interested in computing the probability of
a. mutually exclusive events
b. the intersection of two events
c. the union of two events
d. None of the other answers is correct.
Q:
Which of the following statements is(are) always true?
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If A and B are mutually exclusive events with P(A) = 0.3 and P(B) = 0.5, thenP(A B) =a. 0.00b. 0.15c. 0.8d. 0.2
Q:
The probability of the intersection of two mutually exclusive events
a. can be any value between 0 to 1
b. must always be equal to 1
c. must always be equal to 0
d. can be any positive value
Q:
The probability of the union of two events with nonzero probabilities
a. cannot be less than one
b. cannot be one
c. cannot be less than one and cannot be one
d. None of the other answers is correct.