Exam 8: Continuous Probability Distributions
Exam 1: What Is Statistics39 Questions
Exam 2: Graphical Descriptive Techniques I89 Questions
Exam 3: Graphical Descriptive Techniques II179 Questions
Exam 4: A: Numerical Descriptive Techniques202 Questions
Exam 4: B: Numerical Descriptive Techniques39 Questions
Exam 4: C: Numerical Descriptive Techniques18 Questions
Exam 5: Data Collection and Sampling76 Questions
Exam 6: Probability223 Questions
Exam 7: A: Random Variables and Discrete Probability Distributions225 Questions
Exam 7: B: Random Variables and Discrete Probability Distributions44 Questions
Exam 8: Continuous Probability Distributions200 Questions
Exam 9: Sampling Distributions150 Questions
Exam 10: Introduction to Estimation143 Questions
Exam 11: Introduction to Hypothesis Testing179 Questions
Exam 12: Inference About a Population149 Questions
Exam 13: Inference About Comparing Two Populations169 Questions
Exam 14: Analysis of Variance154 Questions
Exam 15: Chi-Squared Tests174 Questions
Exam 16: A: Simple Linear Regression and Correlation246 Questions
Exam 16: B: Simple Linear Regression and Correlation47 Questions
Exam 17: Multiple Regression156 Questions
Exam 18: Model Building137 Questions
Exam 19: Nonparametric Statistics171 Questions
Exam 20: Time-Series Analysis and Forecasting217 Questions
Exam 21: Statistical Process Control133 Questions
Exam 22: Decision Analysis121 Questions
Exam 23: Conclusion45 Questions
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If your golf score is 3 standard deviations below the mean,its corresponding value on the Z distribution is -3.
(True/False)
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The value of a chi-squared distribution with 5 degrees of freedom such that the area to its left is 0.10 is 1.61.
(True/False)
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A random variable with density function e-x for x 0 has an exponential distribution whose mean is ____________________.
(Essay)
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The value of an F distribution with v1 = 5 and v2 = 10 degrees of freedom such that the area to its left is 0.95 is 3.33.
(True/False)
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Subway Waiting Time
At a subway station the waiting time for a subway is found to be uniformly distributed between 1 and 5 minutes.
-{Subway Waiting Time Narrative} What is the probability density function for this uniform distribution?
(Essay)
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____________________ the value of in a normal distribution will make it wider.
(Essay)
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The mean and the variance of an exponential distribution are equal to each other.
(True/False)
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The mean and variance of a c2 distribution approach ____________________ as the degrees of freedom increase.
(Essay)
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The variance of a 2 distribution is twice the value of its mean.
(True/False)
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The shape of the density function for an exponential distribution is ____________________.
(Essay)
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The y-intercept of the density function for an exponential distribution with parameter 10 is ____________________.
(Essay)
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The exponential distribution is suitable to model the length of time that elapses before the first telephone call is received by a switchboard.
(True/False)
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The probability that a standard normal random variable Z is less than -3.5 is approximately 0.
(True/False)
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In the standard normal distribution,z0.05 = 1.645 means that 5% of all values of z are below 1.645 and 95% are above it.
(True/False)
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A random variable X has a normal distribution with mean 132 and variance 36.If x = 120,its corresponding value of Z is 2.0.
(True/False)
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Counter Sales
Suppose that customers arrive at a counter at an average rate of three customers per minute and that their arrivals follow the Poisson model.
-{Counter Sales Narrative} Write the probability density function of the distribution of the time that will elapse before the next customer arrives.
(Essay)
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Battery Life
A certain brand of batteries has a lifetime that has a normal distribution with a mean of 3,750 hours and a standard deviation of 300 hours.
-{Battery Life Narrative} What proportion of these batteries will last for more than 4,000 hours?
(Essay)
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