Ch 7 in-class questions for Day 1

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Feb 20, 2024

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Chapter 7 – Day 1 1) The shape of any uniform probability distribution is ____________. A) negatively skewed B) positively skewed C) rectangular D) bell-shaped 2) The upper and lower limits of a uniform probability distribution are __________. A) positive and negative infinity B) plus and minus three standard deviations C) 0 and 1 D) the maximum and minimum values of the random variable 3) The time to fly between New York City and Chicago is uniformly distributed with a minimum of 120 minutes and a maximum of 150 minutes. What is the distribution's mean? A) 120 minutes B) 150 minutes C) 135 minutes D) 270 minutes 4) The time to fly between New York City and Chicago is uniformly distributed with a minimum of 120 minutes and a maximum of 150 minutes. What is the probability that a flight is less than 135 minutes? A) 1.00 B) 0.50 C) 0.25 D) 0 5) The time to fly between New York City and Chicago is uniformly distributed with a minimum of 120 minutes and a maximum of 150 minutes. What is the probability that a flight is between 125 and 140 minutes? A) 1.00 B) 0.50 C) 0.33 D) 0.67 1
6) What is an important similarity between the uniform and normal probability distributions? A) The mean, median, and mode are all equal. B) The mean and median are equal. C) They are negatively skewed. D) About 68% of all observations are within one standard deviation of the mean. 7) Which of the following is true regarding the normal distribution? A) The mean, median, and mode are all equal. B) It has two modes. C) It is asymmetrical. D) The points of the curve meet the X-axis at z = −3 and z = 3. 8) Which of the following is a characteristic of the normal probability distribution? A) It is positively skewed. B) It is bell-shaped. C) It is asymmetrical. D) It is rectangular. 9) The weekly incomes of a large group of executives are normally distributed with a mean of $2,000 and a standard deviation of $100. What is the z -score for an income of $2,100? A) +1.000 B) +2.000 C) +1.683 D) −0.900 10) A new extended-life lightbulb has an average life of 750 hours, with a standard deviation of 50 hours. If the life of these lightbulbs approximates a normal distribution, about what percent of the distribution will be between 600 hours and 900 hours? A) 95% B) 68% C) 34% D) 99.74% 2
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