Exam 8: Continuous Probability Distributions
Exam 1: What Is Statistics46 Questions
Exam 2: Graphical Descriptive Techniques 194 Questions
Exam 3: Graphical Descriptive Techniques 2156 Questions
Exam 4: Numerical Descriptive Techniques275 Questions
Exam 5: Data Collection and Sampling84 Questions
Exam 6: Probability240 Questions
Exam 7: Random Variables and Discrete Probability Distributions283 Questions
Exam 8: Continuous Probability Distributions224 Questions
Exam 9: Sampling Distributions156 Questions
Exam 10: Introduction to Estimation154 Questions
Exam 11: Introduction to Hypothesis Testing189 Questions
Exam 12: Inference About a Population153 Questions
Exam 13: Inference About Comparing Two Populations170 Questions
Exam 14: Analysis of Variance157 Questions
Exam 15: Chi-Squared Tests179 Questions
Exam 16: Simple Linear Regression and Correlation304 Questions
Exam 17: Multiple Regression160 Questions
Exam 18: Model Building148 Questions
Exam 19: Nonparametric Statistics175 Questions
Exam 20: Time-Series Analytics and Forecasting225 Questions
Exam 21: Statistical Process Control140 Questions
Exam 22: Decision Analysis123 Questions
Exam 23: Conclusion47 Questions
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If X has an exponential distribution,the possible values of X are from ____________________ to infinity.
(Short Answer)
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The probability that Z is less than −2 is the same as one minus the probability that Z is greater than +2.
(True/False)
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A worker earns $16 per hour at a plant and is told that only 5% of all workers make a higher wage.If the wage is assumed to be normally distributed and the standard deviation of wage rates is $5 per hour,find the average wage for the plant workers per hour.
(Essay)
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Suppose X is a continuous random variable for X between a and
b.
b.Then its probability ____________________ function must non-negative for all values of X between a and
(Short Answer)
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The Student t distribution with parameter v = 2 has a mean E(t)equal to:
(Multiple Choice)
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A random variable with density function e−x for x ≥ 0 has an exponential distribution with λ = ____________________.
(Short Answer)
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Calculus Scores
Scores of high school students on a national calculus exam were normally distributed with a mean of 86 and a standard deviation of 4. (Total possible points = 100.)
-{Calculus Scores Narrative} What is the probability that a randomly selected student will have a score of 80 or higher?
(Short Answer)
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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?
(Short Answer)
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Given that Z is a standard normal random variable,a negative value of Z indicates that the standard deviation of Z is negative.
(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 of waiting no more than 3 minutes?
(Short Answer)
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To be a legitimate probability density function,all possible values of f(x)must lie between 0 and 1 (inclusive).
(True/False)
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Which of the following is not a characteristic for a normal distribution?
(Multiple Choice)
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Counter Sales
suppose that customers arrive at a counter at an avarage rate of three customers per minute and 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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A larger standard deviation of a normal distribution indicates that the distribution becomes:
(Multiple Choice)
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In practice,we frequently use a continuous distribution to approximate a discrete one when the number of values the variable can assume is countable but large.
(True/False)
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If X has an exponential distribution with parameter λ,then f(0)= ____________________.
(Short Answer)
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A continuous random variable is one that can assume an uncountable number of values.
(True/False)
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If a point y lies outside the range of the possible values of a random variable X,then f(y)must equal zero.
(True/False)
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The F distribution has two parameters called degrees of freedom,ν1 and ν2.We call ν1 the ____________________ degrees of freedom,and we call ν2 the ____________________ degrees of freedom.
(Short Answer)
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If the random variable X is exponentially distributed with parameter λ = 0.05,then the variance of X,σ2 = V(X)= 20.
(True/False)
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