The weight of frogs in grams in a marsh population are normally distributed with mean (μ) equal to 23 grams and standard deviation (σ) equal to 1 gram. What is the probability that the mean ( ?¯) of a random sample of 4 frogs weighs less than 24 grams? Round your answer to three decimal places.
The weight of frogs in grams in a marsh population are normally distributed with mean (μ) equal to 23 grams and standard deviation (σ) equal to 1 gram. What is the probability that the mean ( ?¯) of a random sample of 4 frogs weighs less than 24 grams? Round your answer to three decimal places.
The weight of frogs in grams in a marsh population are normally distributed with mean (μ) equal to 23 grams and standard deviation (σ) equal to 1 gram. What is the probability that the mean ( ?¯) of a random sample of 4 frogs weighs less than 24 grams? Round your answer to three decimal places.
The weight of frogs in grams in a marsh population are normally distributed with mean (μ) equal to 23 grams and standard deviation (σ) equal to 1 gram. What is the probability that the mean ( ?¯) of a random sample of 4 frogs weighs less than 24 grams? Round your answer to three decimal places.
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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