Fill in the space. 1. What percentage of the values in a normal distribution are greater than the mean but less than two standard deviations above the mean? 2. You can completely describe a normal distribution by two numbers, the. and the 3. A normal curve is symmetric about the mean, which tells us that the value of the mean equals the value of the 4. What is the area under the curve of a normal distribution between one and three and equals the value of the standard deviations below the mean? 5. What is the probability of a z value between -2.81 and -1.14? 6. What is the probability of a z value greater than -0.81?. 7. What is the probability of a z value less than -2.39 or greater than 1.26?,

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Fill in the space.
1. What percentage of the values in a normal distribution are greater than the mean but less
than two standard deviations above the mean?
2. You can completely describe a normal distribution by two numbers, the
and the
3. A normal curve is symmetric about the mean, which tells us that the value of the mean
equals the value of the
and equals the value of the
4. What is the area under the curve of a normal distribution between one and three
standard deviations below the mean?
5. What is the probability of a z value between -2.81 and -1.14?
6. What is the probability of a z value greater than -0.81?.
7. What is the probability of a z value less than -2.39 or greater than 1.26?
Circle the best answer for each of the following:
8. Suppose that a Normal model described student scores in a history class. Johnson has a
standardized score (z-score) of +2.5. This means that Johnson
A. is 2.5 points above average for the class
B. is 2.5 standard deviations above average for the class
C. has a standard deviation of 2.5
D. has a score that is 2.5 times the average for the class
E. None of the above
9. Let X represent a random variable whose distribution is Normal with a mean of 100 and a
standard deviation of 10. Which of the following is equivalent to P(X > 115)?
A. P(X < 115) B. P(X < 115)
с. Р(Х < 85)
D. P(85 < X < 115)
E. 1- P(X < 85)
10. The weights of professional football players are approximately normally distributed with a
mean of 245 lbs. with a standard deviation of 20 lbs. If Parker is at the 80th percentile in
weight for football players, which of the following is closest to his weight in pounds?
А. 265
В. 255
с. 252
D. 270
E. 262
Transcribed Image Text:Fill in the space. 1. What percentage of the values in a normal distribution are greater than the mean but less than two standard deviations above the mean? 2. You can completely describe a normal distribution by two numbers, the and the 3. A normal curve is symmetric about the mean, which tells us that the value of the mean equals the value of the and equals the value of the 4. What is the area under the curve of a normal distribution between one and three standard deviations below the mean? 5. What is the probability of a z value between -2.81 and -1.14? 6. What is the probability of a z value greater than -0.81?. 7. What is the probability of a z value less than -2.39 or greater than 1.26? Circle the best answer for each of the following: 8. Suppose that a Normal model described student scores in a history class. Johnson has a standardized score (z-score) of +2.5. This means that Johnson A. is 2.5 points above average for the class B. is 2.5 standard deviations above average for the class C. has a standard deviation of 2.5 D. has a score that is 2.5 times the average for the class E. None of the above 9. Let X represent a random variable whose distribution is Normal with a mean of 100 and a standard deviation of 10. Which of the following is equivalent to P(X > 115)? A. P(X < 115) B. P(X < 115) с. Р(Х < 85) D. P(85 < X < 115) E. 1- P(X < 85) 10. The weights of professional football players are approximately normally distributed with a mean of 245 lbs. with a standard deviation of 20 lbs. If Parker is at the 80th percentile in weight for football players, which of the following is closest to his weight in pounds? А. 265 В. 255 с. 252 D. 270 E. 262
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