The piston rings are used to reject when a certain dimension is not within the specifications 2.0±d. It is known that this measurement is normally distributed with mean 1.50 mm and standard deviation 0.20 mm.
(4). Find the value d such that the specifications cover 90% of the measurements.
(5). What is the probability that the measurement of a selected piston ring will be more than 3 mm?
The piston rings are used to reject when a certain dimension is not within the specifications...
TULIS. Question The piston rings are used to reject when a certain dimension is not within the specifications 2.0td. It is known that this measurement is normally distributed with mean 1.50 mm and standard deviation 0.20 mm. (4). Find the value d such that the specifications cover 90% of the measurements. (5). What is the probability that the measurement of a selected piston ring will be more than 3 mm? Question Laptops produced by a company last on an average...
A manufacturer produces piston rings for an automobile engine. It is known that ring diameter is approximately normal distributed and has standard deviation σ = 25 hours. A random sample of 62 bulbs has a mean life of x-bar = 74.036 mm. Construct a 90% confidence interval around the true population mean for piston ring diameter.
historical data shows that the diameter of current piston rings is a normally distributed random variable with a mean of 11cm and a standard deviation of 0.05 cm a) If we use 45 randomly selected rings and calculate the sample mean, what is the probability of having a sample mean greater than 12.00cm? (use original value of standard deviation) b) Assume you take 39 rings and put them side by side in a line, touching each other like this "OOOO..."...
Historically data shows that the diameter of current piston rings is a normally distributed random variable with mean of 12 CM and standard deviation of 0.04 CM A. If you use 46 randomly select the rings and calculate X bar what is the probability of having an X bar greater than 12.01cm B. Assume you take 40 rings and put them side-by-side in line what is the probability that the length of the line will exceed 490cm? use original sd
Y have linear relation Y a X+ b, where a and b are real numbers? 3. A manufacturer produces piston rings for an automobile engine. It is known that ring diameter is approximately normally distributed with c-1.5mm. A random sample of 20 rings has a sample mean diameter of 75.012 mm and a sample standard deviation 1.25 mm. a. Can we conclude at.05 level of significance that the true mean piston diameter is at least 74.036 mm? Find the p-value...
Ex. 46.The inside diameter of a randomly selected piston ring is a random variable with mean value 12 cm and standard deviation .04 cm.a. If ?̅ is the sample mean diameter for a random sample of n= 16 rings, where is the sampling distribution of ?̅ centered, and what is the standard deviation of the ?̅ distribution?b. Answer the questions posed in part (a) for a sample size of n = 64 rings.c. For which of the two random samples,...
A manufacturer of paper used for packaging requires a minimum strength of 1600 g/cm2. To check on the quality of the paper, a random sample of 10 pieces of paper is selected each hour from the previous hour's production and a strength measurement is recorded for each. The standard deviation σ of the strength measurements, computed by pooling the sum of squares of deviations of many samples, is known to equal 160 g/cm2, and the strength measurements are normally distributed....
In the manufacture of electroluminescent lamps, Several Layers of ink are deposited Onto a plastic Substrate . The thickness of these Layers is critical if Specification regarding the Final Color and intensity of Light are to be met. Let x and y denote the thickness of two different layers of ink . It is known that a is normally distributed with a mean 01 mm and Standard deviation of 0.00031 mm, and y is normally distributed with a mean of...
The breaking strength X of a certain rivet used in a machine engine is normally distributed with mean 5000 psi and standard deviation 400 psi. Find the probability that the difference (in absolute value) between a randomly chosen rivet and the mean is within 250 psi.
A manufacturer of paper used for packaging requires a minimum strength of 1500 g/cm2. To check on the quality of the paper, a random sample of 10 pieces of paper is selected each hour from the previous hour's production and a strength measurement is recorded for each. The standard deviation σ of the strength measurements, computed by pooling the sum of squares of deviations of many samples, is known to equal 150 g/cm2, and the strength measurements are normally distributed....