3. The red blood cell count for a population of adult males can be approximated by a normal distribution, with a mean of 5.4 million cells per microliter and a standard deviation of 0.4 million cells a. What is the minimum red blood cell count that can be in the top 25% of counts? per microliter. b. What is the maximum red blood cell count that can be in the bottom 15% of counts? c. Between what values do the red blood cell count of the middle 95% of adult males fall?
3. The red blood cell count for a population of adult males can be approximated by a normal distribution, with a mean of 5.4 million cells per microliter and a standard deviation of 0.4 million cells a. What is the minimum red blood cell count that can be in the top 25% of counts? per microliter. b. What is the maximum red blood cell count that can be in the bottom 15% of counts? c. Between what values do the red blood cell count of the middle 95% of adult males fall?
3. The red blood cell count for a population of adult males can be approximated by a normal distribution, with a mean of 5.4 million cells per microliter and a standard deviation of 0.4 million cells a. What is the minimum red blood cell count that can be in the top 25% of counts? per microliter. b. What is the maximum red blood cell count that can be in the bottom 15% of counts? c. Between what values do the red blood cell count of the middle 95% of adult males fall?
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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