7. What is the probability that she will run a mile in under 5 minutes during her next meet? Answer choices: 0.079 8. What is the probability that she will run a mile between 5 minutes and 6 minutes during her next meet? Answer choices: 0.16 0.318 0.841 0.34 0.68 0.75 0.95 9. What is the probability that she will run a mile between 4 minutes, 30 seconds and 5 minutes, 30 seconds during her next meet? Answer choices: 10. What is the probability that she will break her personal best by running a mile under 4 minutes during her next meet? Answer choices: 0.34 0.475 0.4985 0.8385 0.00034 0.00067 0.0015 0.0027
7. What is the probability that she will run a mile in under 5 minutes during her next meet? Answer choices: 0.079 8. What is the probability that she will run a mile between 5 minutes and 6 minutes during her next meet? Answer choices: 0.16 0.318 0.841 0.34 0.68 0.75 0.95 9. What is the probability that she will run a mile between 4 minutes, 30 seconds and 5 minutes, 30 seconds during her next meet? Answer choices: 10. What is the probability that she will break her personal best by running a mile under 4 minutes during her next meet? Answer choices: 0.34 0.475 0.4985 0.8385 0.00034 0.00067 0.0015 0.0027
7. What is the probability that she will run a mile in under 5 minutes during her next meet? Answer choices: 0.079 8. What is the probability that she will run a mile between 5 minutes and 6 minutes during her next meet? Answer choices: 0.16 0.318 0.841 0.34 0.68 0.75 0.95 9. What is the probability that she will run a mile between 4 minutes, 30 seconds and 5 minutes, 30 seconds during her next meet? Answer choices: 10. What is the probability that she will break her personal best by running a mile under 4 minutes during her next meet? Answer choices: 0.34 0.475 0.4985 0.8385 0.00034 0.00067 0.0015 0.0027
Melissa Johnson runs the mile for her track team. She has averaged a time of 5 minutes, 30 seconds (5.5 minutes) during the season, with a standard deviation of 30 seconds (0.5 minutes). Assume that her times for running the mile are normally distributed
Transcribed Image Text:7. What is the probability that she will run a
mile in under 5 minutes during her next meet?
Answer choices:
0.079
8. What is the probability that she will run a
mile between 5 minutes and 6 minutes during
her next meet?
Answer choices:
0.16
0.318
0.841
0.34
0.68
0.75
0.95
9. What is the probability that she will run a
mile between 4 minutes, 30 seconds and 5
minutes, 30 seconds during her next meet?
Answer choices:
10. What is the probability that she will break
her personal best by running a mile under 4
minutes during her next meet?
Answer choices:
0.34
0.475
0.4985
0.8385
0.00034
0.00067
0.0015
0.0027
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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