Exam 6: The Normal Distribution and Other Continuous Distributions
Exam 1: Introduction145 Questions
Exam 2: Organizing and Visualizing Data210 Questions
Exam 3: Numerical Descriptive Measures153 Questions
Exam 4: Basic Probability171 Questions
Exam 5: Discrete Probability Distributions218 Questions
Exam 6: The Normal Distribution and Other Continuous Distributions191 Questions
Exam 7: Sampling and Sampling Distributions197 Questions
Exam 8: Confidence Interval Estimation196 Questions
Exam 9: Fundamentals of Hypothesis Testing: One-Sample Tests165 Questions
Exam 10: Two-Sample Tests210 Questions
Exam 11: Analysis of Variance213 Questions
Exam 12: Chi-Square Tests and Nonparametric Tests201 Questions
Exam 13: Simple Linear Regression213 Questions
Exam 14: Introduction to Multiple Regression355 Questions
Exam 15: Multiple Regression Model Building96 Questions
Exam 16: Time-Series Forecasting168 Questions
Exam 17: Statistical Applications in Quality Management133 Questions
Exam 18: A Roadmap for Analyzing Data54 Questions
Exam 19: Questions that Involve Online Topics321 Questions
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If a data set is approximately normally distributed,its normal probability plot would be S-shaped.
(True/False)
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TABLE 6-3
Suppose the time interval between two consecutive defective light bulbs from a production line has a uniform distribution over an interval from 0 to 90 minutes.
-Referring to Table 6-3,what is the variance of the time interval?
(Short Answer)
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The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability is ________ that a product is assembled in more than 19 minutes.
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The value of the cumulative standardized normal distribution at Z is 0.6255.The value of Z is
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The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.So,90% of the products require more than ________ minutes for assembly.
(Short Answer)
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Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is between -2.89 and -1.03 is ________.
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A normal probability plot may be used to assess the assumption of normality for a particular set of data.
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You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition,you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 55 and 95?
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TABLE 6-5
A company producing orange juice buys all its oranges from a large orange orchard.The amount of juice that can be squeezed from each of these oranges is approximately normally distributed with a mean of 4.7 ounces and some unknown standard deviation.The company's production manager knows that the probability is 30.85% that a randomly selected orange will contain less than 4.5 ounces of juice.Also the probability is 10.56% that a randomly selected orange will contain more than 5.2 ounces of juice.Answer the following questions without the help of a calculator,statistical software or statistical table.
-Referring to Table 6-5,what is the probability that a randomly selected orange will contain no more than 4.2 ounces of juices?
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TABLE 6-6
According to Investment Digest,the arithmetic mean of the annual return for common stocks from 1926-2010 was 9.5% but the value of the variance was not mentioned.Also 25% of the annual returns were below 8% while 65% of the annual returns were between 8% and 11.5%.The article claimed that the distribution of annual return for common stocks was bell-shaped and approximately symmetric.Assume that this distribution is normal with the mean given above.Answer the following questions without the help of a calculator,statistical software or statistical table.
-Referring to Table 6-6,find the probability that the annual return of a random year will be between 7.5% and 11%.
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The interval between patients arriving at an outpatient clinic follows an exponential distribution at a rate of 1 patient per hour.What is the probability that a randomly chosen arrival to be more than 1 hour?
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