A company manufactures light bulbs. The company wants the bulbs to have a mean life span of 991 hours. This average is maintained by periodically testing random samples of 16 light bulbs. If the t-value falls between -t0.95 and t0.95, then the company will be satisfied that it is manufacturing acceptable light bulbs. For a random sample, the mean life span of the sample is 999 hours and the standard deviation is 22 hours. Assume that life spans are approximately normally distributed. Is the company making acceptable light bulbs? Explain.
The company "is/is not making acceptable" light bulbs because the t-value for the sample is t= _____ and t0.95= _______ (Round to two decimal places as needed.)
A company manufactures light bulbs. The company wants the bulbs to have a mean life span...
A company manufactures tennis balls. When its tennis balls are dropped onto a concrete surface from a height of 100 inches, the company wants the mean height the balls bounce upward to be 54.8 inches. This average is maintained by periodically testing random samples of 25 tennis balls. If the t-value falls between minust 0.98 and t 0.98, then the company will be satisfied that it is manufacturing acceptable tennis balls. A sample of 25 balls is randomly selected and...
An electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed with a standard deviation of 40 hours. If a sample of 30 bulbs has an average life of 780 hours, find a 96% confidence interval for the population mean of all bulbs produced by this firm. How large a sample is needed if we wish to be 96% confident that our sample mean will be within 10 hours of the true mean?
An electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed with a standard deviation of 20 hours. If a sample of 30 bulbs has an average life of 780 hours, how large a sample is needed if we wish to be 95% confident that our sample mean will be within 4 hours of the true mean. a. 62 b. 68 c. 100 d. 97
An electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed with a standard deviation of 20 hours. If a sample of 30 bulbs has an average life of 780 hours, how large a sample is needed if we wish to be 95% confident that our sample mean will be within 4 hours of the true mean. a. 62 b. 68 c. 100 d. 97
An electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed with a standard deviation of 25 hours. If we wish to be 99% confident that the sample mean will be within 4 hours of the true mean, how large a sample is needed? At least observations.
An electrical firm manufactures light bulbs that have a length life with normal distribution, and mean equal to 800 hours, and a variance of 9. Find the probability that a random sample of 38 light bulbs will have a sample variance S2 greater than 9.97. Find the probability that a random sample of 32 light bulbs will have a sample variance s? of at most 4.2.
A n electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed with a sample standard deviation of 40 hours. If a sample of 16 bulbs has an average life of 770 hours, find a 95% two-sided confidence interval for the population mean of all bulbs produced by this firm. a. 750.40 < µ < 789.60 b. 752.47 < µ < 787.53 c. 761.47 < µ < 796.53 d. 748.69 < µ < 791.31
An electrical firm manufactures light bulbs that have a length life with normal distribution, and mean equal to 800 hours, and a variance of 8. Find the probability that a random sample of 29 light bulbs will have a sample variance S2 between 7.81 and 16.25.
An electrical firm which manufactures a certain type of bulb wants to estimate its mean life. The life of the light bulb is normally distributed with a standard deviation of 40 hours. A random sample of 36 bulbs resulted in a mean of 200 hours. a) (3 points) Construct a 92% confidence interval for the mean life of all light bulbs the firm manufactures. b) (4 points) How many bulbs should be tested so that we can be 92% confident...
An electrical firm which manufactures a certain type of bulb wants to estimate its mean life. The life of the light bulb is normally distributed with a standard deviation of 40 hours. A random sample of 36 bulbs resulted in a mean of 200 hours. a) (3 points) Construct a 92% confidence interval for the mean life of all light bulbs the firm manufactures. b) (4 points) How many bulbs should be tested so that we can be 92% confident...