Exam 6: Continuous Probability Distributions
Exam 1: Data and Statistics84 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays67 Questions
Exam 3: Descriptive Statistics: Numerical Measures118 Questions
Exam 4: Introduction to Probability94 Questions
Exam 5: Discrete Probability Distributions84 Questions
Exam 6: Continuous Probability Distributions121 Questions
Exam 7: Sampling and Sampling Distributions116 Questions
Exam 8: Interval Estimation90 Questions
Exam 9: Hypothesis Tests95 Questions
Exam 10: Inference About Means and Proportions With Two Populations63 Questions
Exam 11: Inferences About Population Variances66 Questions
Exam 12: Comparing Multiple Proportions, Tests of Independence and Goodness of Fit59 Questions
Exam 13: Experimental Design and Analysis of Variance76 Questions
Exam 14: Simple Linear Regression132 Questions
Exam 15: Multiple Regression103 Questions
Exam 16: Regression Analysis: Model Building41 Questions
Exam 17: Time Series Analysis and Forecasting51 Questions
Exam 18: Nonparametric Methods58 Questions
Exam 19: Decision Analysis48 Questions
Exam 20: Index Numbers39 Questions
Exam 21: Statistical Methods for Quality Control60 Questions
Exam 22: Sample Survey48 Questions
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The weight of football players is normally distributed with a mean of 200 pounds and a standard deviation of 25 pounds. The probability of a player weighing more than 250 pounds is
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The uniform, normal, and exponential distributions
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For a normal distribution, a negative value of z indicates
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A professor at a local university noted that the exam grades of her students were normally distributed with a mean of 73 and a standard deviation of 11. Students who made 59.99 or lower on the exam failed the course. What percent of students failed the course?
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A manufacturing process produces items whose weights are normally distributed. It is known that 22.57% of all the items produced weigh between 100 grams up to the mean and 49.18% weigh from the mean up to 190 grams. Determine the mean and the standard deviation.
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The probability that a continuous random variable takes any specific value
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Given that z is a standard normal random variable, what is the probability that z
-2.12?

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The average starting salary of this year's MBA students is $45,000 with a standard deviation of $5,000. Furthermore, it is known that the starting salaries are normally distributed. What are the minimum and the maximum starting salaries of the middle 95% of MBA graduates?
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The function that defines the probability distribution of a continuous random variable is a
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The area of the continuous uniform probability distribution is
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The random variable x is known to be uniformly distributed between 70 and 100. The probability of x having a value between 80 to 95 is
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z is a standard normal random variable. The P(-1.5 < z < 1.09) equals
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z is a standard normal random variable. The P (1.20
z
2.10) equals


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Given that z is a standard normal random variable, what is the value of z if the area to the right of z is 0.1801?
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The assembly time for a product is uniformly distributed between 6 to 10 minutes. The standard deviation of assembly time (in minutes) is approximately
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A continuous random variable is uniformly distributed between a and b. The probability density function between a and b is
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The ages of students at a university are normally distributed with a mean of 21. What percentage of the student body is at least 21 years old?
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Which of the following are continuous random variables?
I. The weight of an elephant
II. The time to answer a questionnaire
III. The number of floors in a skyscraper
IV. The square feet of countertop in a kitchen
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There is a lower limit but no upper limit for a random variable that follows the _____ probability distribution.
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z is a standard normal random variable. The P(z ≥ 2.11) equals
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