A lab orders 100 rats per week for each of the 52 weeks in the year
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If n= 10 and p= 0.70, then the mean of the binomial distribution is | ||||||||||||||||
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In a binomial distribution | ||||||||||||||||
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In a Poisson distribution, the mean and standard deviation are equal. | ||||||||
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A lab orders 100 rats per week for each of the 52 weeks in the year. Suppose the mean cost of rats is $13.00 per week. Interpret this value. | ||||||||||||||||
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A campus program evenly enrolls undergraduate and graduate students. If a random sample of 4 students is selected from the program to be interviewed about the introduction of a new fast food outlet on the ground floor of the campus building, what is the probability that all 4 students selected are undergraduate students? | ||||||||||||||||
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Suppose that the number of airplanes arriving at an airport per minute is a Poisson process. The average number of airplanes arriving per minute is 3. The probability that exactly 6 planes arrive in the next minute is 0.0504. | ||||||||
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In a Poisson distribution, the mean and variance are equal. | ||||||||
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On the average, 1.8 customers per minute arrive at any one of the checkout counters of a grocery store. What type of probability distribution can be used to find out the probability that there will be no customer arriving at a checkout counter? | ||||||||||||||||
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If the outcome of event Ais not affected by event B, then events Aand Bare said to be | ||||||||||||||||
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Mothers Against Drunk Driving is a very visible group whose main focus is to educate the public about the harm caused by drunk drivers. A study was recently done that emphasized the problem we all face with drinking and driving. Four hundred accidents that occurred on a Saturday night were analyzed. Two items noted were the number of vehicles involved and whether alcohol played a role in the accident. Referring to TABLE 4-1, what proportion of accidents involved alcohol and a single vehicle?
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The employees of a company were surveyed on questions regarding their educational background and marital status. Of the 600 employees, 400 had college degrees, 100 were single, and 60 were single college graduates. The probability that an employee of the company has a college degree is: | ||||||||||||||||
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If two events are collectively exhaustive, what is the probability that both occur at the same time? | ||||||||||||||||
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The probability that a new advertising campaign will increase sales is assessed as being 0.80. The probability that the cost of developing the new ad campaign can be kept within the original budget allocation is 0.40. Assuming that the two events are independent, the probability that the cost is kept within budget and the campaign will increase sales is: | ||||||||||||||||
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If two events are mutually exclusive and collectively exhaustive, what is the probability that both occur at the same time? | ||||||||||||||||
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According to a survey of American households, the probability that the residents own 2 cars is 80%, given annual income is over $25,000. Of the households surveyed, 60% had incomes over $25,000; 70% owned 2 cars. Given the knowledge that the residents of a given household do NOT own 2 cars, what is the probability that their annual household income is over $25,000? | |||||||||||||||||||
My answer for this is 0.4 |
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According to a survey of American households, the probability that the residents own 2 cars is 80%, given annual income is over $25,000. Of the households surveyed, 60% had incomes over $25,000; 70% owned 2 cars. What is the probability that the residents of a household do NOT own 2 cars and have an income over $25,000? | ||||||||||||||||
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The owner of a fish market determined that the average weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound. A citation catfish should be one of the top 2% in weight. | ||||||||||||||||
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The owner of a fish market determined that the average weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound. Assuming the weights of catfish are normally distributed, above what weight (in pounds) do 89.80% of the weights occur? | ||||||||||||||||
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A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan. Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standard deviation of 3.5 years. Find the age at which payments have ceased for approximately 86% of the plan participants. | ||||||||||||||||
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If we know that the length of time it takes college students to park their cars follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, find the probability that a randomly selected college student will take between 2 and 4.5 minutes to find a parking spot in the library parking lot. | ||||||||||||||||
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In its standardized form, the normal distribution has: | ||||||||||||||||
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The owner of a fish market determined that the average weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound. Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh less than 2.2 pounds is _______? | ||||||||||||||||
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For some positive value of X, the probability that a standard normal variable is between 0 and 2Xis 0.1255. The value of Xis | ||||||||||||||||
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The probability that a standard normal random variable, Z, is between 1.00 and | ||||||||
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True or False: The "middle spread," that is the middle 50% of the normal distribution, is equal to one standard deviation. | |||||
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