I have a question :) A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 192.5-cm and a standard deviation of 0.5-cm. For shipment, 21 steel rods are bundled together. Find the probability that the average length of a randomly selected bundle of steel rods is between 192.4-cm and 192.6-cm. P(192.4-cm < M < 192.6-cm) = Enter your answer as a number accurate to 4 decimal places. Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted
I have a question :) A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 192.5-cm and a standard deviation of 0.5-cm. For shipment, 21 steel rods are bundled together. Find the probability that the average length of a randomly selected bundle of steel rods is between 192.4-cm and 192.6-cm. P(192.4-cm < M < 192.6-cm) = Enter your answer as a number accurate to 4 decimal places. Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted
I have a question :) A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 192.5-cm and a standard deviation of 0.5-cm. For shipment, 21 steel rods are bundled together. Find the probability that the average length of a randomly selected bundle of steel rods is between 192.4-cm and 192.6-cm. P(192.4-cm < M < 192.6-cm) = Enter your answer as a number accurate to 4 decimal places. Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted
A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 192.5-cm and a standard deviation of 0.5-cm. For shipment, 21 steel rods are bundled together.
Find the probability that the average length of a randomly selected bundle of steel rods is between 192.4-cm and 192.6-cm. P(192.4-cm < M < 192.6-cm) =
Enter your answer as a number accurate to 4 decimal places. Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.
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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