Exam 8: Continuous Probability Distributions
Exam 1: What Is Statistics43 Questions
Exam 2: Graphical Descriptive Techniques I93 Questions
Exam 3: Graphical Descriptive Techniques II140 Questions
Exam 4: Numerical Descriptive Techniques316 Questions
Exam 5: Data Collection and Sampling82 Questions
Exam 6: Probability237 Questions
Exam 7: Random Variables and Discrete Probability Distributions277 Questions
Exam 8: Continuous Probability Distributions215 Questions
Exam 9: Sampling Distributions154 Questions
Exam 10: Introduction to Estimation152 Questions
Exam 11: Introduction to Hypothesis Testing187 Questions
Exam 12: Inference About a Population149 Questions
Exam 13: Inference About Comparing Two Populations168 Questions
Exam 14: Analysis of Variance157 Questions
Exam 15: Chi-Squared Tests Optional175 Questions
Exam 16: Simple Linear Regression and Correlation301 Questions
Exam 17: Multiple Regression158 Questions
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Given that Z is a standard normal random variable, a negative value (z) on its distribution would indicate:
(Multiple Choice)
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Given that Z is a standard normal random variable, the area to the left of a value z is expressed as
(Multiple Choice)
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What happens to the shape, mean, and variance of a X2 distribution as the degrees of freedom increase?
(Essay)
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If X has an exponential distribution, then f(x) approaches ____________________ as x approaches infinity.
(Short Answer)
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NARRBEGIN: Phone Orders
Phone Orders
The L. L. Bean catalog department that receives the majority of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product. The length of time was found to be a random variable best approximated by an exponential distribution with a mean equal to 3 minutes.NARREND
-{Phone Orders Narrative} Find the waiting time at which only 10% of the customers will continue to hold.
(Essay)
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A random variable with density function e-x for x 0 has an exponential distribution with = ____________________.
(Short Answer)
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You can use a continuous random variable to ____________________ a discrete random variable that takes on a countable, but very large, number of possible values.
(Short Answer)
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A random variable with density function e-x for x 0 has an exponential distribution whose mean is ____________________.
(Short Answer)
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If we standardize the normal curve, we express the original X values in terms of their number of standard deviations away from the mean.
(True/False)
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NARRBEGIN: IT Graduates Salary
IT Graduates Salary
The recent average starting salary for new college graduates in IT systems is $47,500. Assume salaries are normally distributed with a standard deviation of $4,500.NARREND
-{IT Graduates Salary Narrative} What is the cutoff for the top 3% of the salaries?
(Short Answer)
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An exponential random variable is an example of a(n) ____________________ random variable.
(Short Answer)
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Which of the following is always true for all probability density functions of continuous random variables?
(Multiple Choice)
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Which of the following represents a difference between continuous and discrete random variables?
(Multiple Choice)
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The mean of the standard normal distribution is ____________________ and the standard deviation is ____________________.
(Short Answer)
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A normal distribution is symmetric; therefore the probability of being below the mean is 0.50 and the probability of being above the mean is 0.50.
(True/False)
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NARRBEGIN: Phone Orders
Phone Orders
The L. L. Bean catalog department that receives the majority of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product. The length of time was found to be a random variable best approximated by an exponential distribution with a mean equal to 3 minutes.NARREND
-{Phone Orders Narrative} What proportion of customers having to hold more than 1.5 minutes will hang up before placing an order?
(Essay)
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Use the F table to find the following probabilities.
a.P(F6,14 > 2.85)
b.P(F20,60 > 2.20)
c.P(F12,25 > 2.51)
d.P(F15,30 > 2.01)
(Short Answer)
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NARRBEGIN: ElectronicsTest
Electronics Test
The time it takes a student to finish a electronics test has a uniform distribution between 50 and 70 minutes.NARREND
-{Electronics Test Narrative} Find the probability that a student will take no less than 55 minutes to finish the test.
(Short Answer)
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