Which of the following is not a characteristic of the normal distribution? a) The total area...
Which of the following is not a characteristic of the normal distribution? a) The total area under the curve is 1.0 b) The curve is symmetric about the mean c) The value of the mean is always greater than the value of the standard deviation d) The two tails of the curve extend indefinitely
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Which of the following is not a characteristic of the normal
distribution? a) The total area...
1 point For a normal random variable X, which of the following is FALSE* O The...
1 point For a normal random variable X, which of the following is FALSE* O The value of the mean is zero. O The total area under the curve of X is 1.0. O The curve is symmetric about the mearle O The two tails of the curve extend indefinitely O The probability of a single value of X is always zero.
Which of the following is not a characteristic of the normal probability distribution? Multiple Choice 0...
Which of the following is not a characteristic of the normal probability distribution? Multiple Choice 0 The mean is equal to the median, which is also equal to the mode. 0 The total area under the curve is always equal to 1. 0 The mean is 0 and and the standard deviation is 1. The The distribution is symmetrical
8. Which of the following is not a characteristic of the normal probability distribution? Select one:...
8. Which of the following is not a characteristic of the normal probability distribution? Select one: a. Symmetry b. The total area under the curve is always equal to 1. c. 99.72% of the time the random variable assumes a value within plus or minus 1 standard deviation of its mean d. The mean is equal to the median, which is also equal to the mode. 10. Given that z is a standard normal random variable, what is the probability...
Which of the following statements is not a property of the normal probability distribution?
Which of the following statements is not a property of the normal probability distribution?A. The normal distribution is symmetricB. Exactly two-thirds of all possible observed values of the random variable x are within plus or minus one standard deviations of the population meanC. The mean, median and mode are equalD. The area under the normal curve to the right of the mean is equal to the area under the normal curve to the left of the meanE. All of the...
In a standard normal distribution bell curve, the proportion of the total area which must be...
In a standard normal distribution bell curve, the proportion of the total area which must be to the left of the mean is and the total area under the curve is A: between 0.25 and 0.60; 0.50 and 1.20 B: exactly 0.50; 1 C: less than 0.50 if the distribution is skewed to the left; 1 D: more than 0.50 if the distribution is skewed to the right; 1
6. Area under the normal distribution The following figure shows the normal distribution with the proportion...
6. Area under the normal distribution The following figure shows the normal distribution with the proportion of the area under the normal curve contained within one, two, and three standard deviations of the mean. The last proportion on each side, 0.13%, depicts the remaining area under the curve. Specifically, 0.13% of the area under the standard normal distribution is located above z-score values greater than the mean (u) plus three standard deviations (+30). Also, because the normal distribution is symmetrical,...
Which of the following is not a characteristic of the normal probability distribution? Note: The question...
Which of the following is not a characteristic of the normal probability distribution? Note: The question is about normal distribution; not about standard normal distribution. A.) The distribution is symmetrical B.) The standard deviation must be 1 C.) The mean of the distribution can be negative, zero, or positive
Which of the following are properties of the normal curve? Select all that apply. A. The...
Which of the following are properties of the normal curve? Select all that apply. A. The graph of a normal curve is symmetric. B. The high point is located at the value of the mean. C. The graph of a normal curve is skewed right. D. The high point is located at the value of the standard deviation. E. The area under the normal curve to the right of the mean is 1. F. The area under the normal curve...
The area under the standard normal curve that lies to the left of -1.8 is 0.0359....
The area under the standard normal curve that lies to the left of -1.8 is 0.0359. Without consulting a the table giving areas under the standard normal curve, determine the area under the standard normal curve that lies to the right of 1.8. answer: b) Which property of the standard normal curve allowed you to answer part a)? A. The standard normal curve extends indefinitely in both directions B. The standard normal curve is symmetric about 0 C. Almost all...
(10) 12. Which of the following characteristics are true for a normal probability distribution? (CIRCLE ALL...
(10) 12. Which of the following characteristics are true for a normal probability distribution? (CIRCLE ALL THAT ARE TRUE) A) The area under the curve is 1. B) It is symmetrical. C) The midpoint is also the mean. D) The total sample space for the normal distribution is all positive integers E) 95% of the area under the Normal PDF curve is within One Standard Deviation from the Mean.
1 point For a normal random variable X, which of the following is FALSE* O The value of the mean is zero. O The total area under the curve of X is 1.0. O The curve is symmetric about the mearle O The two tails of the curve extend indefinitely O The probability of a single value of X is always zero.
Which of the following is not a characteristic of the normal probability distribution? Multiple Choice 0 The mean is equal to the median, which is also equal to the mode. 0 The total area under the curve is always equal to 1. 0 The mean is 0 and and the standard deviation is 1. The The distribution is symmetrical
6. Area under the normal distribution The following figure shows the normal distribution with the proportion of the area under the normal curve contained within one, two, and three standard deviations of the mean. The last proportion on each side, 0.13%, depicts the remaining area under the curve. Specifically, 0.13% of the area under the standard normal distribution is located above z-score values greater than the mean (u) plus three standard deviations (+30). Also, because the normal distribution is symmetrical,...
(10) 12. Which of the following characteristics are true for a normal probability distribution? (CIRCLE ALL THAT ARE TRUE) A) The area under the curve is 1. B) It is symmetrical. C) The midpoint is also the mean. D) The total sample space for the normal distribution is all positive integers E) 95% of the area under the Normal PDF curve is within One Standard Deviation from the Mean.
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