Exam 6: Continuous Probability Distributions
Exam 1: What Is Statistics79 Questions
Exam 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation87 Questions
Exam 3: Describing Data: Numerical Measures191 Questions
Exam 4: A Survey of Probability Concepts130 Questions
Exam 5: Discrete Probability Distributions121 Questions
Exam 6: Continuous Probability Distributions143 Questions
Exam 7: Sampling Methods and the Central Limit Theorem78 Questions
Exam 8: Estimation and Confidence Intervals134 Questions
Exam 9: One-Sample Tests of Hypothesis139 Questions
Exam 10: Two-Sample Tests of Hypothesis103 Questions
Exam 11: Analysis of Variance97 Questions
Exam 12: Linear Regression and Correlation166 Questions
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Exam 14: Chi-Square Applications126 Questions
Exam 15: Index Numbers93 Questions
Exam 16: Time Series and Forecasting90 Questions
Exam 17: An Introduction to Decision Theory54 Questions
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A sample of 500 evening students revealed that their annual incomes from employment in industry during the day were normally distributed with a mean income of $30,000 and a standard deviation of $3,000. (i) 250 students earned more than $30,000.
(ii. 341 students earned between $27,000 and $33,000.
(iii) 239 students earned between $24,000 and $30,000.
(Multiple Choice)
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i. A continuity correction compensates for estimating a discrete distribution with a continuous distribution. ii. The normal probability distribution is generally deemed a good approximation for the binomial probability distribution when np and n(1 -p)are both greater than five.
iii. When a continuity correction factor is used, its value is 1.
(Multiple Choice)
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A sample of 500 evening students revealed that their annual incomes from employment in industry during the day were normally distributed with a mean income of $30,000 and a standard deviation of $3,000. (i) 250 students earned more than $30,000.
(ii. 341 students earned between $27,000 and $33,000.
(iii) 290 students earned between $24,000 and $30,000.
(Multiple Choice)
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