The weights for players in the National Football League (NFL) have a right skewed distributed with a mean of 245 pounds and a standard deviation of 20 pounds. Which of the following statements is most accurate in describing the distribution for the mean weight of a sample of NFL players?
The weights for players in the National Football League (NFL) have a right skewed distributed with a mean of 245 pounds and a standard deviation of 20 pounds. Which of the following statements is most accurate in describing the distribution for the mean weight of a sample of NFL players?
The weights for players in the National Football League (NFL) have a right skewed distributed with a mean of 245 pounds and a standard deviation of 20 pounds. Which of the following statements is most accurate in describing the distribution for the mean weight of a sample of NFL players?
The weights for players in the National Football League (NFL) have a right skewed distributed with a mean of 245 pounds and a standard deviation of 20 pounds. Which of the following statements is most accurate in describing the distribution for the mean weight of a sample of NFL players?
Select one:
a.
The distribution of the mean weight for 100 randomly selected NFL players will follow a right skewed distribution with mean 245 and standard deviation 2.
b.
The distribution of the mean weight for 100 randomly selected NFL players will follow an approximate Normal distribution with mean 245 and standard deviation 20.
c.
The distribution of the mean weight for 100 randomly selected NFL players will follow a right skewed distribution with mean 245 and standard deviation 20.
d.
The distribution of the mean weight for 100 randomly selected NFL players will follow an approximate Normal distribution with mean 245 and standard deviation 2.
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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