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View Full DocumentCh06: Chapter 6, Continuous Distributions True/False 1. A uniform continuous distribution is also referred to as a rectangular distribution. Ans: True Response: See section 6.1, The Uniform Distribution Difficulty: Easy 2. The height of the rectangle depicting a uniform distribution is the probability of each outcome and it same for all of the possible outcomes Ans: False Response: See section 6.1, The Uniform Distribution Difficulty: Medium 3. The area of the rectangle depicting a uniform distributionis always equal to one. Ans: True Response: See section 6.1, The Uniform Distribution Difficulty: Medium 4. Many human characteristics such as height and weight and many measurements such as variables such as household insurance and cost per square foot of rental space are normally distributed. Ans: True Response: See section 6.2, Normal Distribution Difficulty: Medium 5. Normal distribution is a skewed distribution with its tails extending to infinity on either side of the mean. Ans: False Response: See section 6.2, Normal Distribution Difficulty: Medium 6. Since a normal distribution curve extends from minus infinity to plus infinity, the area under the curve is infinity. Ans: False Response: See section 6.2, Normal Distribution Difficulty: Medium 7. A z-score is the number of standard deviations that a value of a random variable is above or below the mean. Ans: True Response: See section 6.2, Normal Distribution Difficulty: Medium 8. A normal distribution with a mean of zero and a standard deviation of 1 is called a null distribution. Ans: False Response: See section 6.2, Normal Distribution Difficulty: Medium 9. A standard normal distribution has a mean of zero and a standard deviation of one. Ans: True Response: See section 6.2, Normal Distribution Difficulty: Easy 10. The standard normal distribution is also called a finite distribution because its mean is zero and standard deviation one, always. Ans: False Response: See section 6.2, Normal Distribution Difficulty: Medium 11. In a standard normal distribution, if the area under curve to the right of a z-value is 0.10, then the area to the left of the same z-value is -0.10. Ans: False Response: See section 6.2, Normal Distribution Difficulty: Medium 12. Binomial distributions in which the sample sizes are large may be approximated by a Poisson distribution. Ans: False Response: See section 6.3, Using the Normal Curve to Approximate Binomial Distribution Problems Difficulty: Medium 13. A correction for continuity must be made when approximating the binomial distribution problems using a normal distribution. Ans: True Response: See section 6.3, Using the Normal Curve to Approximate Binomial Distribution Problems Difficulty: Medium 14. If arrivals at a bank followed a Poisson distribution, then the time between arrivals would follow a binomial distribution.... View Full Document
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