Suppose a population is known to be normally distributed with a mean, µ, equal to 144 and a standard deviation, ơ, equal to 27. Approximately what percent of the population would be between 90 and 117? 13.5% 95% 34% 68% 47.5% 81.5%
Suppose a population is known to be normally distributed with a mean, µ, equal to 144 and a standard deviation, ơ, equal to 27. Approximately what percent of the population would be between 90 and 117? 13.5% 95% 34% 68% 47.5% 81.5%
Suppose a population is known to be normally distributed with a mean, µ, equal to 144 and a standard deviation, ơ, equal to 27. Approximately what percent of the population would be between 90 and 117? 13.5% 95% 34% 68% 47.5% 81.5%
Suppose a population is known to be normally distributed with a mean, μ, equal to 144 and a standard deviation, σ, equal to 27. Approximately what percent of the population would be between 90 and 117?
Transcribed Image Text:**Question:**
Suppose a population is known to be normally distributed with a mean, μ, equal to 144 and a standard deviation, σ, equal to 27. Approximately what percent of the population would be between 90 and 117?
**Options:**
- 13.5%
- 95%
- 34%
- 68%
- 47.5%
- 81.5%
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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