1. A bearing used in an automotive application is supposed to have a nominal inside diameter...
A bearing used in an automotive application is supposed to have a nominal inside diameter of 3.81 cm. A random sample of 25 bearings is selected and the average inside diameter of these bearings is 3.8037 cm. Bearing diameter is known to be normally distributed with standard deviation σ = 0.03 cm. (a) Compute a 95%-confidence interval for the mean inside diameter. (b) Test the hypothesis H0 : µ = 3.81 versus H1 : µ 6= 3.81 using α =...
Let X be the length of life of a 60-watt light bulb manufactured by a certain company. If a random sample of 25 units is tested until they burn out, yielding a sample mean of x = 1478 hours and s 2 x = 1296, compute a confidence 95 % -confidence interval for the mean and the variance.
Ten bearings made by a certain process have a mean diameter of 0.905 cm with a standard deviation of 0.0050 cm. Assuming that the data may be viewed as a random sample from a normal population, construct a 95% confidence interval for the actual average diameter of bearings made by this process and interpret.
Eighteen bearings made by a certain process have a mean diameter of 0.75 cm with standard deviation of 0.05 cm. Need to use T-distribution. find 95% confidence interval for the actual average diameter of bearings made by this process. find 90% confidence interval for the actual average diameter of bearings made by this process.
A support used in an automotive application is supposed to have a nominal internal diameter of 1.5 inches. A random sample of 25 supports is selected and the nominal internal diameter of These brackets is 1.4975 inches. The diameters of the supports are known to be normally distributed with a standard deviation of σ = 0.01 inches. a) Test the hypothesis Ho: μ = 1.5 versus H1 ≠ 1.5 using α 0.01. b) What is the p-value for the test...
Based on historical data, the diameter of a ball bearing is normally distributed with a mean of 0.527 cm and a standard deviation of 0.009 cm. Suppose that a sample of 36 ball bearings are randomly selected. Determine the probability that the average diameter of a sampled ball bearing is greater than 0.530 cm. a. 0.9772 b. 0.0228 c. 0.5062 d. 0.0559
Thirty six bearings made by a certain process have a mean diameter of 0.64 cm and standard deviation 0.05 cm. Construct: 99% confidence interval for the actual average diameter of bearings made by this process 88% confidence interval for the actual average diameter of bearings made by this process.
Thirty six bearings made by a certain process have a mean diameter of 0.64 cm and standard deviation 0:05 cm. Construct: i. 99% confidence interval for the actual average diameter of bearings made by this process. ii. 88% confidence interval for the actual average diameter of bearings made by this process. 2
3. A manufacturing firm claims that the batteries used in its electronic games will last an average of 30 hours. To maintain this average, 16 batteries are tested each month. If the computed t-value falls between −t0.025 and t0.025, the firm is satisfied with its claim. What conclusion should the firm draw from a sample that has a mean of x = 27.5 hours and a standard deviation of s = 5 hours? Assume the distribution of battery lives to...
1. An electric firm manufactures light bulbs that have a lifetime, X, that is approximately normally distributed with a standard deviation of 100 hours. Prior experience leads the firm to establish that the mean of X (or mean lifetime), say , follows a normal distribution with mean 140-800 hours and standard deviation σ0 10 hours. If a random sample of 25 bulbs examined turns out an average lifetime of 780 hours, solve the following. (a) Find a 95% Bayesian estinate...