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1. The center of a normal curve is cannot be negätive 6) is the mean of the distribution a. C. always equal to zero d. is the standard deviation 2. In a standard normal distribution, the mean is 1 and the standard deviation is 0 b. mean and the standard deviation are both 1 mean and the standard deviation can have any value C. d. mean is 0 and the standard deviation is 1 a. 3. Z is a standard normal random variable. What is the value of Z if the area to the right of Z is 0.0122? 1.25 b. a. -1.25 @ -2.25 0.01228944 d. 2.25 4. Z is a standard normal random variable. The P(-2

1. The center of a normal curve is cannot be negätive 6) is the mean of the distribution a. C. always equal to zero d. is the standard deviation 2. In a standard normal distribution, the mean is 1 and the standard deviation is 0 b. mean and the standard deviation are both 1 mean and the standard deviation can have any value C. d. mean is 0 and the standard deviation is 1 a. 3. Z is a standard normal random variable. What is the value of Z if the area to the right of Z is 0.0122? 1.25 b. a. -1.25 @ -2.25 0.01228944 d. 2.25 4. Z is a standard normal random variable. The P(-2

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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1. The center of a normal curve is cannot be negätive 6) is the mean of the distribution always equal to zero d. is the standard deviation a. с. 2. In a standard normal distribution, the mean is I and the standard deviation is 0 b. a. mean and the standard deviation are both 1 mean and the standard deviation can have any value C. d. mean is 0 and the standard deviation is 1 3. Z is a standard normal random variable. What is the value of Z if the area to the right of Z is 0.0122? 1.25 b. a. -1.25 @ -2.25 d. 2.25 0.01228944 4. Z is a standard normal random variable. The P(-2<Z<-1.15) equals 0.0558 a. b. 0.475 0.0118 d. 0.1023 C. 5. X is a normally distributed random variąble with a mean of 8 and a standard deviation of 3. The probability that X is between 6 and 10 is a. 0.7486 b. 0.6826 C. 0.4972 d. 0.8413 MiP The weight of football players is normally distributed with a mean of 200 pounds and a standard deviation of 20 pounds. 6. The probability of a player weighing more than 240 pounds is 0.0197 b. 0.0228 C. M200 a. 0.9803 d. 0.4803 0:20 P(z< 240) 140 - 200 7 90 20 A 240 200 7. Refer to the information in Q6. The probability of a player weighing less than 220 pounds is 0.9938 b. 0.4938 a. P(x >20) C. 0.1587 d. 0.8413 8. What percent of players weigh between 170 and 230 pounds? 50% 68.26% 99.72% d. 86,64% a. b. 1
Transcribed Image Text:1. The center of a normal curve is cannot be negätive 6) is the mean of the distribution always equal to zero d. is the standard deviation a. с. 2. In a standard normal distribution, the mean is I and the standard deviation is 0 b. a. mean and the standard deviation are both 1 mean and the standard deviation can have any value C. d. mean is 0 and the standard deviation is 1 3. Z is a standard normal random variable. What is the value of Z if the area to the right of Z is 0.0122? 1.25 b. a. -1.25 @ -2.25 d. 2.25 0.01228944 4. Z is a standard normal random variable. The P(-2<Z<-1.15) equals 0.0558 a. b. 0.475 0.0118 d. 0.1023 C. 5. X is a normally distributed random variąble with a mean of 8 and a standard deviation of 3. The probability that X is between 6 and 10 is a. 0.7486 b. 0.6826 C. 0.4972 d. 0.8413 MiP The weight of football players is normally distributed with a mean of 200 pounds and a standard deviation of 20 pounds. 6. The probability of a player weighing more than 240 pounds is 0.0197 b. 0.0228 C. M200 a. 0.9803 d. 0.4803 0:20 P(z< 240) 140 - 200 7 90 20 A 240 200 7. Refer to the information in Q6. The probability of a player weighing less than 220 pounds is 0.9938 b. 0.4938 a. P(x >20) C. 0.1587 d. 0.8413 8. What percent of players weigh between 170 and 230 pounds? 50% 68.26% 99.72% d. 86,64% a. b. 1
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