The mean daily production of a herd of cows is assumed to be normally distributed with a mean of 33 liters, and standard deviation of 4.7 liters. A) What is the probability that daily production is between 31.3 and 42 liters? Do not round until you get your your final answer. Answer= (Round your answer to 4 decimal places.) Warning: Do not use the Z Normal Tables...they may not be accurate enough since WAMAP may look for more accuracy than comes from the table.
The mean daily production of a herd of cows is assumed to be normally distributed with a mean of 33 liters, and standard deviation of 4.7 liters. A) What is the probability that daily production is between 31.3 and 42 liters? Do not round until you get your your final answer. Answer= (Round your answer to 4 decimal places.) Warning: Do not use the Z Normal Tables...they may not be accurate enough since WAMAP may look for more accuracy than comes from the table.
The mean daily production of a herd of cows is assumed to be normally distributed with a mean of 33 liters, and standard deviation of 4.7 liters.
A) What is the probability that daily production is between 31.3 and 42 liters? Do not round until you get your your final answer.
Answer= (Round your answer to 4 decimal places.)
Warning: Do not use the Z Normal Tables...they may not be accurate enough since WAMAP may look for more accuracy than comes from the table.
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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