Exam 6: Continuous Probability Distributions
Exam 1: Data and Statistics98 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays62 Questions
Exam 3: Descriptive Statistics: Numerical Measures173 Questions
Exam 4: Introduction to Probability138 Questions
Exam 5: Discrete Probability Distributions123 Questions
Exam 6: Continuous Probability Distributions174 Questions
Exam 7: Sampling and Sampling Distributions133 Questions
Exam 8: Interval Estimation137 Questions
Exam 9: Hypothesis Tests148 Questions
Exam 10: Inference About Means and Proportions With Two Populations121 Questions
Exam 11: Inferences About Population Variances90 Questions
Exam 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit90 Questions
Exam 13: Experimental Design and Analysis of Variance115 Questions
Exam 14: Simple Linear Regression146 Questions
Exam 15: Multiple Regression115 Questions
Exam 16: Regression Analysis: Model Building76 Questions
Exam 17: Time Series Analysis and Forecasting68 Questions
Exam 18: Nonparametric Methods81 Questions
Exam 19: Statistical Methods for Quality Control29 Questions
Exam 20: Index Numbers52 Questions
Exam 21: Decision Analysis on Website65 Questions
Exam 22: Sample Survey on Website63 Questions
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For the standard normal probability distribution, the area to the right of the mean is
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The time between arrivals of customers at the drive-up window of a bank follows an exponential probability distribution with a mean of 10 minutes.
a.What is the probability that the arrival time between customers will be 7 minutes or less?
b.What is the probability that the arrival time between customers will be between 3 and 7 minutes?
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For a continuous random variable x, the probability density function f(x) represents
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Twenty percent of the employees of a large company are female. Use the normal approximation of the binomial probabilities to answer the following questions. What is the probability that in a random sample of 80 employees
a.exactly 16 will be female?
b.14 or more will be female?
c.15 or fewer will be female?
d.18 or more will be female
e.exactly 17 will be female?
(Short Answer)
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For a standard normal distribution, the probability of obtaining a z value between -1.9 to 1.7 is
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Exhibit 6-5
The travel time for a college student traveling between her home and her college is uniformly distributed between 40 and 90 minutes.
-Refer to Exhibit 6-5. The probability that she will finish her trip in 80 minutes or less is
(Multiple Choice)
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The life expectancy of Timely brand watches is normally distributed with a mean of four years and a standard deviation of eight months.
a.What is the probability that a randomly selected watch will be in working condition for more than five years?
b.The company has a three-year warranty period on their watches. What percentage of their watches will be in operating condition after the warranty period?
c.What is the minimum and the maximum life expectancy of the middle 95% of the watches?
d.Ninety-five percent of the watches will have a life expectancy of at least how many months?
(Essay)
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Which of the following is not a characteristic of the normal probability distribution?
(Multiple Choice)
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For a standard normal distribution, determine the probabilities of obtaining the following z values. It is helpful to draw a normal distribution for each case and show the corresponding area.
a.Greater than zero
b.Between -2.4 and -2.0
c.Less than 1.6
d.Between -1.9 to 1.7
e.Between 1.5 and 1.75
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Given that Z is a standard normal random variable. What is the value of Z if the area to the left of Z is 0.9382?
(Multiple Choice)
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The time required to assemble a part of a machine follows an exponential probability distribution with a mean of 14 minutes.
a.What is the probability that the part can be assembled in 7 minutes or less?
b.What is the probability that the part can be assembled between 3.5 and 7 minutes?
(Short Answer)
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Use the normal approximation to the binomial distribution to answer this question. Fifteen percent of all students at a large university are absent on Mondays. If a random sample of 12 names is called on a Monday, what is the probability that four students are absent?
(Multiple Choice)
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The advertised weight on a can of soup is 10 ounces. The actual weight in the cans follows a uniform distribution and varies between 9.3 and 10.3 ounces.
a.Give the mathematical expression for the probability density function.
b.What is the probability that a can of soup will have between 9.4 and 10.3 ounces?
c.What is the mean weight of a can of soup?
d.What is the standard deviation of the weight?
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In grading eggs into small, medium, and large, the Nancy Farms packs the eggs that weigh more than 3.6 ounces in packages marked "large" and the eggs that weigh less than 2.4 ounces into packages marked "small"; the remainder are packed in packages marked "medium." If a day's packaging contained 10.2% large and 4.18% small eggs, determine the mean and the standard deviation for the eggs' weights. Assume that the distribution of the weights is normal.
(Short Answer)
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For a standard normal distribution, determine the probability of obtaining a Z value of
a.greater than zero.
b.between -2.34 to -2.55
c.less than 1.86.
d.between -1.95 to 2.7.
e.between 1.5 to 2.75.
(Short Answer)
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When a continuous probability distribution is used to approximate a discrete probability distribution, a value of 0.5 is
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Which of the following is not a characteristic of the normal probability distribution?
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