Exam 6: Continuous Distributions
Exam 1: Introduction to Statistics79 Questions
Exam 2: Charts and Graphs75 Questions
Exam 3: Descriptive Statistics63 Questions
Exam 4: Probability72 Questions
Exam 5: Discrete Distributions80 Questions
Exam 6: Continuous Distributions78 Questions
Exam 7: Sampling and Sampling Distributions76 Questions
Exam 8: Statistical Inference: Estimation for Single Populations80 Questions
Exam 9: Statistical Inference: Hypothesis Testing for Single Populations79 Questions
Exam 10: Statistical Inferences About Two Populations70 Questions
Exam 11: Analysis of Variance and Design of Experiments80 Questions
Exam 12: Simple Regression Analysis and Correlation84 Questions
Exam 13: Multiple Regression Analysis80 Questions
Exam 14: Building Multiple Regression Models80 Questions
Exam 15: Time-Series Forecasting and Index Numbers77 Questions
Exam 16: Analysis of Categorical Data76 Questions
Exam 17: Nonparametric Statistics81 Questions
Exam 18: Statistical Quality Control68 Questions
Exam 19: Decision Analysis78 Questions
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Let z be a normal random variable with mean 0 and standard deviation 1.What is P(z > -1.1)?
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(Multiple Choice)
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Correct Answer:
B
At a certain workstation in an assembly line,the time required to assemble a component is exponentially distributed with a mean time of 10 minutes.Find the probability that a component is assembled in 7 minutes or less.
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(Multiple Choice)
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Correct Answer:
E
Let z be a normal random variable with mean 0 and standard deviation 1.What is P(1.3 < z < 2.3)?
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(Multiple Choice)
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Correct Answer:
D
The net profit of an investment is normally distributed with a mean of $10,000 and a standard deviation of $5,000.The probability that the investor's net gain will be at least $5,000 is ___.
(Multiple Choice)
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Let z be a normal random variable with mean 0 and standard deviation 1.The 75th percentile of z is ___.
(Multiple Choice)
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A z score is the number of ___ that a value is from the mean.
(Multiple Choice)
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Solve for probabilities in an exponential distribution and contrast the exponential distribution to the discrete Poisson distribution.
(Essay)
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If x,the time (in minutes)to complete an oil change job at a certain auto service station,is uniformly distributed over the interval 20 to 30,inclusively (20 x 30),then the height of this distribution,f(x),is ___.
(Multiple Choice)
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Since a normal distribution curve extends from minus infinity to plus infinity,the area under the curve is infinity.
(True/False)
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Let z be a normal random variable with mean 0 and standard deviation 1.What is P(z > 2.4)?
(Multiple Choice)
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Sure Stone Tire Company has established that the useful life of a particular brand of its automobile tires is normally distributed with a mean of 40,000 kilometres and a standard deviation of 5000 kilometres.What is the probability that a randomly selected tire of this brand has a life of at least 50,000 kilometres?
(Multiple Choice)
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A correction for continuity must be made when approximating the binomial distribution problems using a normal distribution.
(True/False)
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In a standard normal distribution,if the area under curve to the right of a z value is 0.10,then the area to the left of the same z value is -0.10.
(True/False)
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If x,the time (in minutes)to complete an oil change job at a certain auto service station,is uniformly distributed over the interval 20 to 30,inclusively (20 x 30),then the standard deviation of this distribution is ___.
(Multiple Choice)
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The area to the left of the mean in any normal distribution is equal to ___.
(Multiple Choice)
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The area of the rectangle depicting a uniform distribution is always equal to one.
(True/False)
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If x is uniformly distributed over the interval 8 to 12,inclusively (8 x 12),then the probability,P(13 x 15),is ___.
(Multiple Choice)
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Completion time (from start to finish)of a building remodelling project is normally distributed with a mean of 200 work-days and a standard deviation of 10 work-days.The probability that the project will be completed within 185 work-days is ___.
(Multiple Choice)
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The height of the rectangle depicting a uniform distribution is the probability of each outcome and it is the same for all of the possible outcomes.
(True/False)
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