The lengths of nails produced in a factory are normally distributed with a mean of 4.84 centimeters and a standard deviation of 0.05 centimeters. Find the two lengths that separate the top 3% and the bottom 3%. These lengths could serve as limits used to identify which nails should be rejected. Round your answer to the nearest hundredth, if necessary.
The lengths of nails produced in a factory are normally distributed with a mean of 4.84...
1. Find the area under the standard normal curve between z=0.49 and z=2.05. Round your answer to four decimal places, if necessary. 2. The lengths of nails produced in a factory are normally distributed with a mean of 6.02 centimeters and a standard deviation of 0.05 centimeters. Find the two lengths that separate the top 9% and the bottom 9%. These lengths could serve as limits used to identify which nails should be rejected. Round your answer to the nearest...
The weights of certain machine components are normally distributed with a mean of 8.34 ounces and a standard deviation of 0.04 ounces Find the two weights that separate the top 4% and the bottom 4% These weights could serve as limits used to identify wich components should be rejected. Round your answer to the nearest hundredth, if necessary ANSWER Enter your answer in the boxes below. Answer ounces and ounces
2. Assume that weights of newborn children are normally distributed with a mean (µ) of 116 ounces and a standard deviation (σ) of 12 ounces. Find the upper and lower limits that separate the top 5% and the bottom 5%. please show how z score and standard deviation is found.
Sugar canes have lengths, X, that are normally distributed with mean 365.45 centimeters and standard deviation 4.9 centimeters. What is the probability of the length of a randomly selected cane being between 360 and 370 centimeters? Round your answer to four decimal places.
Question 5 1 pts Assume that thermometer readings are normally distributed with a mean of 0 degrees Celsius and a standard deviation of 1 degree Celsius. A thermometer is randomly selected and tested. Find the temperature reading that separates the bottom 98.3% from the top 1.7%. Round your answer to the nearest hundredth.
Question 6 1 pts Assume that thermometer readings are normally distributed with a mean of 0 degrees Celsius and a standard deviation of 1 degree Celsius. A thermometer is randomly selected and tested. Find the temperature reading that separates the bottom 40.9% from the top 59.1%. Round your answer to the nearest hundredth.
1. The lengths of pregnancies are normally distributed with a mean of 268 days and a standard deviation of 15 days. a) Find the 80th percentile of pregnancy length. b) Find the pregnancy length that separates the upper 30% c) Find the pregnancy lengths that separate the middle 80% d) Find the percent of pregnancies that are less than 260 days. e) Find the percent of pregnancies that are between 250 and 280 days
1) The lengths of pregnancies of humans are normally distributed with a mean of 268 days and a standard deviation of 15 days. Find the probability of a pregnancy lasting less than 250 days. 2) The lengths of pregnancies of humans are normally distributed with a mean of 268 days and a standard deviation of 15 days. Find the probability of a pregnancy lasting more than 300 days. 3) An airline knows from experience that the distribution of the number...
Suppose that men's foot lengths are normally distributed with mean 9.84 inches and standard deviation 1.57 inches, and women's foot lengths are normally distributed with mean 7.48 inches and standard deviation 1.18 inches. and label them (the curves and the axis) clearly Please only sketch the graph. That is what I am struggling with.
The lengths of pregnancies in a small rural village are normally distributed with a mean of 264 days and a standard deviation of 13 days. A distribution of values is normal with a mean of 264 and a standard deviation of 13. What percentage of pregnancies last fewer than 294 days? P(X < 294 days) = % ?