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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Stacy took a math test whose mean was 70 and standard deviation was 5.The total points possible was 100.Stacey's results were reported to be at the 95th percentile.What was Stacey's actual exam score,rounded to the nearest whole number?
(Multiple Choice)
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The probability density function f(x)of a random variable X that has a uniform distribution between a and b is
(Multiple Choice)
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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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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.
-{IT Graduates Salary Narrative} What percent of starting salaries are no more than $42,250?
(Essay)
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If X has an exponential distribution with parameter ,then f(0)= ____________________.
(Essay)
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If X has an exponential distribution with parameter ,then the mean of X is ______________.
(Essay)
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Which of the following is true for an exponential distribution with parameter ?
(Multiple Choice)
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The variance of a Student t distribution approaches ____________________ as the degrees of freedom increase to infinity.
(Essay)
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The mean and standard deviation of an exponential random variable are equal to each other.
(True/False)
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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.
(Essay)
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If X is a continuous random variable on the interval [0,10],then P(X > 5)= P(X 5).
(True/False)
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Continuous probability distributions describe probabilities associated with random variables that are able to assume any finite number of values along an interval.
(True/False)
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A random variable X has a normal distribution with a mean of 250 and a standard deviation of 50.Given that X = 175,its corresponding value of Z is -1.50.
(True/False)
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If the mean of an exponential distribution is 2,then the value of the parameter is 2.0.
(True/False)
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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.
-{IT Graduates Salary Narrative} What is the probability of a new graduate receiving a salary between $45,000 and $50,000?
(Essay)
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Like that of the Student t distribution,the shape of the chi-squared distribution depends on its number of degrees of freedom.
(True/False)
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A continuous probability distribution represents a random variable having an infinite number of outcomes which may assume any number of values within an interval.
(True/False)
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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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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} Use the appropriate exponential distribution to find the probability that the next customer will not arrive within the next 2 minutes.
(Essay)
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