Exam 5: Continuous Random Variables and Probability Distributions
Exam 1: Describing Data: Graphical247 Questions
Exam 2: Describing Data: Numerical326 Questions
Exam 3: Probability345 Questions
Exam 4: Discrete Random Variables and Probability Distributions257 Questions
Exam 5: Continuous Random Variables and Probability Distributions239 Questions
Exam 6: Sampling and Sampling Distributions147 Questions
Exam 7: Estimation: Single Population151 Questions
Exam 8: Estimation: Additional Topics109 Questions
Exam 9: Hypothesis Testing: Single Population164 Questions
Exam 10: Hypothesis Testing: Additional Topics103 Questions
Exam 11: Simple Regression217 Questions
Exam 12: Multiple Regression252 Questions
Exam 13: Additional Topics in Regression Analysis168 Questions
Exam 14: Analysis of Categorical Data241 Questions
Exam 15: Analysis of Variance192 Questions
Exam 16: Time-Series Analysis and Forecasting138 Questions
Exam 17: Additional Topics in Sampling110 Questions
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Let the random variable Z follow a standard normal distribution.
-What is P(Z > -0.52)?
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As manager of a pizza shop,you are responsible for placing the food orders.You currently have enough anchovies for 8 pizzas.You expect to have orders for 60 pizzas tonight.If 8% of all pizzas are ordered with anchovies,what is the probability that you run out of anchovies before the evening is over? Use the normal approximation for the binomial.
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Which type of distribution would best model the waiting times of the departing flights at JFK international airport?
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If X is a normal random variable with mean of 1228 and a standard deviation of 120,the number of standard deviations from 1228 to 1380 is:
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The normal probability distribution is the continuous probability distribution used least often for economics and business applications.
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To approximate a discrete distribution that has many different outcomes useful in most applied business and economic problems,we are,in fact,using the:
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Let the random variable Z follow a standard normal distribution,and let z1be a possible value of Z that is representing the 90th percentile of the standard normal distribution.Find the value of z1.
(Multiple Choice)
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The normal distribution is useful for waiting-line or queuing problems and service-time problems.
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Given that X is a normally distributed random variable with a mean of 52 and a standard deviation of 2,the probability that X is between 48 and 56 is:
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The life of a new type of light bulb is uniformly distributed between 1,200 and 1,600 hours.
-What is the probability that a randomly-selected light bulb burns out in less than 1,500 hours?
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The area to the left of the mean in any normal distribution is equal to:
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Although the binomial distribution is discrete and the normal distribution is continuous,the normal distribution is a good approximation for the binomial whenever nP(1 - P)> 9 where n = number of trials,and P = the probability of success in any given trial.
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If a data set is approximately normally distributed,then its normal probability plot will be S-shaped.
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When the distribution of a continuous random variable follows a uniform probability distribution and does not exceed a specific given value,its cumulative distribution function is graphed as a:
(Multiple Choice)
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You are the owner of a small casino in Las Vegas.You want to reward the high-rollers who come to your casino.You want to give free accommodations to no more than 10% of your patrons.Suppose that the mean amount wagered by all patrons is $287,with a standard deviation of $15.You should give free accommodations to those individuals who wager over how much money?
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The time it takes to assemble an electronic component is normally distributed with a mean of 17.2 minutes and a standard deviation of 3.1 minutes.The probability is 90% that it will take at least how long to assemble a component?
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The normal curve gets closer and closer to the X-axis but never actually touches it.
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If the random variable x is exponentially distributed with parameter λ = 1.5,then the probability P(2 ≤ X ≤ 4)is equal to:
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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Let the random variable X follow a normal distribution with a mean of 17.1 and a standard deviation of 3.2.
-What is P(X > 16)?
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The total cost for a production process is equal to $1,200 plus 2.5 times the number of units produced.The mean and variance for the number of units produced are 520 and 840,respectively.Find the mean and variance of the total cost.
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