Term
Which if the following numbers could not be the probability of an event? |
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Definition
| 0.9 -.3 0.78 1.23 0 0.34 1 -.56 6.7 |
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| In a survey of 1100 female adults, it was determined that 341 volunteered at least once in the past year. What is the probability that a randomly selected female adult volunteered at least once in the past year? |
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Definition
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| A standard deck consists of 52 cards, in 4 suits of 13 cards each. Find the probability of selecting an ace or a heart from the deck. |
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Definition
| P (ace or Heart) = P (ace) + P (heart) - P (ace & heart) = 4/52 + 13/52 - 1/52 = 16/52 = .308 |
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Term
| A golf ball is selected from a golf bag. The bag contains 9 Titleists, 17 Maxflies, and 8 Topflites. Find the probability that the ball is not a Topflite. |
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Definition
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Term
| If P(E) = .23, and P(f) = .46, find P(E or F) if P(E & F) is 0.07 |
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Definition
| P (E or F) = P (E) + P(F) - P(E & F) = .23 + .46 - .07 = .62 |
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Term
| Write a one sentence definition of subjective probability. |
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Definition
| Probability based on hunches, or past experience or personal judgement. |
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Term
| What is the probability of obtaining 6 tails in a row when flipping a coin 6 times in a row? |
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Definition
P + 1/2 x 1/2 x 1/2 x 1/2 x 1/2 x 1/2 = 1/26 = 1/64 = .0156 |
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Term
| Suppose events E and F are independent. What is the P (E & F) if the P(E) = .89 and P(F) = .45? |
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Definition
P (E&F) = P(E) x P(F) = (.89) (.45) = .4005 |
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Term
| The package of an EPT pregnancy test states that the test is 99% accurate at detecting a pregnancy. Assume that the test is accurate 99% of the time. Suppose 12 randomly selected pregnant women with typical hormone levels are given the test.&n |
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Definition
P = 9912 = (.99)(.99)(.99)(.99)(.99)(.99)(.99)(.99)(.99)(.99)(.99)(.99) = .8864 |
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Term
A bag of 30 tulip bulbs purchased form a nursery contains 12 red bulbs, 10 yellow bulbs, and 8 purple bulbs. What is the probability that two randomly selected (without replacement) tulip bulbs are both yellow? |
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Definition
P = 10/30 x 9/29 = 90/870 = .1034 |
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Term
A bag of 30 tulip bulbs purchased from a nursery contains 12 red bulbs, 10 yellow bulbs, and 8 purple bulbs. What is the probability that the first bulb selected is red and the second is purple? |
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Definition
P = 12/30 x 8/29 = 96/870 = .1103 |
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Term
| A woman has 5 blouses and 4 skirts. How many different possible outfits can she wear? |
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Definition
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Term
A Social Security Number has a 9 digit format of xxx-xx-xxxx. (a) Assuming no restrictions, how many possible numbers are there? (b) What is the probability of guessing the Social Security number of the pres |
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Definition
(a) P = _ _ _ _ _ _ _ _ _ = 109 = 1,000,000,000 (b) P = 1/1,000,000,000 |
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Term
Determine whether the random variable is discrete or continuous. State the possible values of the random variable. (a) The number of defects in a roll of carpet ______ Possible values of x = __________ |
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Definition
(a) discrete ... possible values of x = 0, 1, 2, 3 .... (b) continuous ... possible values of x = > 0 |
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Term
Given the following probability data table, answer the following questions.
Definition
Yes (1) 0 < or = p(x) < or = 1 (2) ∑ p(x) = 1 |
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Definition
mean = 23 + 24 + 45 + 200 = 292 |
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Definition
SD = (100 - 292)2 (23) = (200-292)2 (12) = (300-292)2 (.15) + (400 - 292)2 (.5) = SD2 = 8478.72 + 1015.68 + 9.6 + 5832 = 15,336 SQ RT of 15,336 = SD = 123.84 |
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Definition
P (x) = n |nCr| x . px . qn-x |
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Using the binomial formula ... according to information in an Almanac, 80% of adult smokers started smoking before turning 18 years old. Suppose 10 smokers are randomly selected and the number of smokers who started smoking before 18 is recorded. |
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Definition
P(x) = n |nCr| x ∙ px ∙ qn-x P (8) = 10 |nCr| 8 x .88 x .22 = 10!/8! (10-8)! ∙ (.1677) (.04) = .302 = .3019 |
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