1. A random sample of 56 fluorescent light bulbs has a mean life of 645 hours....
A light bulb manufacturer claims that the mean life of a certain type of light bulb is 750 hours. If a random sample of 36 light bulbs has a mean life of 725 hours with a standard deviation of 60 hours. Use a=0.05a. State the null and alternative hypotheses.b. State the Type I and Type II errors.c. Find the critical value. Do you have enough evidence to reject the manufacturer’s claim?d. Find the p-value.e. Construct a 95% confidence interval for...
= 25 hours. A random sample of 22 bulbs The life in hours of a 75-watt light bulb is known to be normally distributed with has a mean life of K = 1014 hours. (a) Construct a 95% two-sided confidence interval on the mean life. Round your answers to the nearest integer (e.g. 9876). (b) Construct a 95% lower-confidence bound on the mean life. Compare the lower bound of this confidence interval with the one in part (a). Round your...
please circle answer A random sample of 79 light bulbs had a mean life of x = 400 hours. Assume that a = 31 hours. Construct a 90% confidence interval for the mean life of this type. Round to one decimal place. of all light bulbs an Potte O A. 391.0 to 409.0 hours OB. 391.9 to 408.1 hours O c. 394.2 to 405.8 hours OD. 393.2 to 406.8 hours
The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7,520 hours. The population standard deviation is 840 hours. A random sample of 49 light bulbs indicates a sample mean life of 7,340 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,520 hours? b. Compute the p-value and interpret its meaning. c. Construct...
An electrical firm manufactures light bulbs that have a length life with normal distribution, and a standard deviation of o = 40 hours. A sample of size n = 100 bulbs has an average life of 740 hours. Find the 95% confidence interval for the population mean of all bulbs produced by this firm. (use interval notation). What z value(s) did you use to calculate the confidence interval above? Explain why briefly.
The quality control manager at a light bulb factory needs to estimate the mean life of a large shipment of light bulbs. The standard deviation is 98 hours. A random sample of 49 light bulbs indicated a sample mean life of 300 hours. (a) Construct a 99% confidence interval estimate for the population mean life of light bulbs in this shipment. The 99% confidence interval estimate is from a lower limit of 263.9 hours to an upper limit of 336.1...
Confidence Interval The quality-control manager at a light bulb factory needs to determine whether the mean life of a large shipment of light bulbs is equal to 375 hours. The population standard deviation is 120 hours. A random sample of 64 light bulbs indicates a sample mean life of 350 hours. 1. At the 95% confidence level, what is the critical value? 39. What is the confidence interval based on this data? 2. Is there evidence that the mean life...
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
9.2 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. Many cardiac patients wear an implanted pace- maker to control their heartbeat. A plastic connec- tor module mounts on the top of the pacemaker. As- suming...
Suppose that the lifetimes of light bulbs are approximately normally distributed. A random sample with 38 light bulbs was obtained with a mean of 60 hours and a standard deviation of 4.5 hours. With this information, answer the following questions. To estimate the population mean, what is the Standard Error? To estimate the population mean at 95% C.L., what is the Margin of Error? At a 96% C.L., if the researcher wants to limit the margin of error within 0.5...