Solution:
μ=4, σx=1.1
σ=0.11
We have to find P(<3.74)=...?
P(Z<-2.3636) = 0.00905 ... Using normal z-table
Done
Question 20 A factory produces plate glass with a mean thickness of 4mm and a standard...
A factory produces plate glass with a mean thickness of 4mm and a standard deviation of 1.1mm. A simple random sample of 100 sheets of glass is to be measured, and the mean thickness of the 100 sheets is to be computed. What is the probability that the average thickness of the 100 sheets is less than 4.13 mm? Round your answers to 5 decimal places.
Page 1 Question 1 Suppose we take repeated random samples of size 20 from a population with a Select all that apply. mean of 60 and a standard deviation of 8. Which of the following statements is 10 points true about the sampling distribution of the sample mean (x)? Check all that apply. A. The distribution is normal regardless of the shape of the population distribution, because the sample size is large enough. B. The distribution will be normal as...
A normally distributed population has a mean of 500 and a standard deviation of 80. a. Determine the probability that a random sample of size 25 selected from this population will have a sample mean less than 463 . b. Determine the probability that a random sample of size 16 selected from the population will have a sample mean greater than or equal to 538. A company makes windows for use in homes and commercial buildings. The standards for glass...
A company makes windows for use in homes and commercial buildings. The standards for glass thickness call for the glass to average 0.500 inch with a standard deviation equal to 0.045 inch. Suppose a random sample of n=51 windows yields a sample mean of 0.519 inch. What is the probability of getting a sample mean greater or equal to 0.519, if the windows meet the standards? (Round to four decimal places as needed.)
A company makes windows for use in homes and commercial buildings. The standards for glass thickness call for the glass to average 0.4000 inch with a standard deviation equal to 0.0500 inch. Suppose a random sample of n=48 windows yields a sample mean of 0.4190inch. Complete parts a and b below. a. P(xbar more than 0.419)= 0.0043 b. . Based on your answer to part a, what would you conclude about the population of windows? Is it meeting the standards?...
Sheets of aluminum from a supplier have a thickness that is normally distributed with a mean of 50 mm and a standard deviation of 4 mm (call this random variable X). Your company compresses the aluminum with a tool that is normally distributed with a mean of 20 mm and a standard deviation of 3 mm (call this random variable Y). You are interested in the random variable V = X – Y, the random variable V is the final...
Page 16 Example: An electronic parts factory produces resistors. Assume the resistance follows a distribution with standard deviation 0.156 ohms. A random sample of 60 resistors has an average resistance of 0.45 ohms. The factory wishes to test that the population mean resistance is less than 0.5 ohms? a. Find the p-value b. Express the rejection region of the above test in terms of the sample mean. c. Find trpel error d. Find the probability of type II error if...
A factory produces pistons whose diameters follow a normal distribution with a mean of 50 mm and a standard deviation of 0.01 mm. For a piston to serve, its diameter must be between 49.98 and 50.02 mm. If the diameter is less than 49.98 mm it is rejected; if it is greater than 50.02 mm, it is reprocessed once and the new diameter follows a normal distribution of an average of 49.99 mm, a standard deviation of 0.01 mm. I....
A factory produces pistons whose diameters follow a normal distribution with a mean of 50 mm and a standard deviation of 0.01 mm. For a piston to serve, its diameter must be between 49.98 and 50.02 mm. If the diameter is less than 49.98 mm it is rejected; if it is greater than 50.02 mm, it is reprocessed once and the new diameter follows a normal distribution of an average of 49.99 mm, a standard deviation of 0.01 mm. I....
6 A factory manufactures pencils and the plastic boxes that they are stored in. The lengths of the pencils made in the factory are normally distributed with mean 18 cm and standard deviation 0.1 cm. blank Leave The plastic boxes used to store the pencils are 18.2 cm long. 5 random pencils are put into each box. If any of the pencils do not fit in the box, the box will be damaged. Find the probability that a box will...