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.Find the value k,such that P(-k < Z < k)= 0.78.
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One must use caution concerning finance models in that continuous clear observation and thinking cannot be replaced by models developed from:
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The shape of the normal probability density function is a symmetric bell-shaped curve centered on the:
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The owner of a fish market determined that the average weight for a catfish is 3.4 pounds with a standard deviation of 0.8 of a pound.A citation catfish should be one of the top 2% in weight.Assuming the weights of catfish are normally distributed,at what weight (in pounds)should the citation designation be established?
(Multiple Choice)
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The number of orders that come into a mail-order sales office each month is normally distributed with a mean of 298 and a standard deviation of 15.4.
-What is the probability that in a particular month the office receives more than 310 orders?
(Multiple Choice)
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The number of orders that come into a mail-order sales office each month is normally distributed with a mean of 298 and a standard deviation of 15.4.
-What is the area under the normal curve between Z = -2 and Z = 0?
(Multiple Choice)
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Because the probability of any specific value is 0 for a continuous random variable,the expected values for continuous random variables are computed using:
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Consider a random sample of size n =1800 from a binomial probability distribution with P = 0.40,and X = number of successes.
-Find the probability that the percentage of successes is between 0.38 and 0.43
(Essay)
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Consider a random sample of size n =1800 from a binomial probability distribution with P = 0.40,and X = number of successes.
-Find the probability that the percentage of successes is greater than 0.42
(Essay)
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The combinations of continuous random variables whose development is based on operation with expected values and does not depend on the particular probability distribution are called:
(Multiple Choice)
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Let the random variable Z follow a standard normal distribution.
-Find the value k such that P(-0.71 < Z < k)≈ 0.67
(Essay)
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A continuous random variable X has the probability density function: f(x)= 2e-2x,x ≥ 0.
-Find the mean and standard deviation of X.
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The continuous random variable X is uniformly distributed over the interval [a,b].The mean of the probability distribution of X is:
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Let the random variable Z follow a standard normal distribution.
-Find the value k such that P(Z > k)= 0.83
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Linear functions of random variables have many applications such as in the case of car dealership sales.
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Let X1,X2,...... ,Xk be a set of k continuous random variables.The function F(x1,x2,..... ,xk)which defines the probability that simultaneously X1 < x1,X2 < x2 and so on is called a:
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Suppose that the time between successive occurrences of an event follows an exponential distribution with mean 1/λ minutes.Assume that an event occurs.
-Show that the probability that more than 4 minutes elapses before the occurrence of the next
event is e-4λ.
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Let the random variable Z follow a standard normal distribution.Find the value k,such that P(Z > k)= 0.39.
(Multiple Choice)
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The normal probability distribution provides a very close approximation to the binomial probability distribution if np(1 - p)> 5,where n is the number of trials and p is the probability of success in any trial.
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A function of continuous random variables which allows for graphical interpretations of their probability structure is called the:
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