The average life of light bulbs produced by SABA Electric Co. is believed to be normally distributed with the mean service life of 950 hours and a standard deviation of 100 hours. A random sample of 100 bulbs is tested and it has a mean life of 930 hours.
Can it be concluded that the mean service life of the bulbs is
less than the expectation at significant level of 0.01?
A. Yes. The mean service life of the bulbs is less than the
expectation
B. No. The mean service life of the bulbs is not less than the
expectation
C. Both a and b are correct.
D. None of the above
The test statistic here is computed as:

Now from standard normal tables, we get here:
P(Z < -2) = 0.023
As the p-value here is 0.023 > 0.01 which is the level of significance, therefore the test is not significant and we cannot reject the null hypothesis here. Therefore B is the correct answer here.
The average life of light bulbs produced by SABA Electric Co. is believed to be normally...
1.The average life of light bulbs produced by SABA Electric Co. is expected to be normally distributed with the mean service life of 950 hours and standard deviation of 100 hours. A random sample of 100 bulbs is tested and it has a mean life of 910 hours. Can researcher conclude that the mean service life of the bulbs is less than the expectation? H0 is null hypothesis, and Ha is alternative hypothesis. Which method can researcher use to check...
Please show all your work.
4 Light Bulbs The lifetimes of light bulbs produced by a c mean 1000 hours and standard deviation 100 hours. ompany are independent and normally distributed with (a) What is the probability that a bulb will last less than 800 hours? (b) What is the probability that a bulb will last at least 1200 hours? (c) If 2 new bulbs are installed at the same time, what is the probability that they will both still...
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?
A certain brand of electric bulbs has an average life of 330 hours with a standard deviation of 35. A random sample of 80 bulbs is tested. What is the probability that the sample mean will be less than 318?
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
Suppose that the life expectancy of a certain brand of non defective light bulbs is normally distributed, with a mean life of 1300 hr and a standard deviationof 150 hr. If 30,000 of these bulbs are produced, how many can be expected to last at least 1300 hr? light bulbs?
1. The life time of a certain brand of bulbs produced by a company is normally distributed, with mean 210 hours and standard deviation 56 hours. What is the probability that a bulb picked at random from this company’s products will have a life time of: (i) at least 300 hours, (ii) at most 100 hours, (iii) between 150 and 250 hours.
The life of light bulbs is distributed normally. The variance of the lifetime is 400400 and the mean lifetime of a bulb is 600600 hours. Find the probability of a bulb lasting for at most 633633 hours. Round your answer to four decimal places.
The life of light bulbs is distributed normally. The variance of the lifetime is 625 and the mean lifetime of a bulb is 510 hours. Find the probability of a bulb lasting for at most 527 hours. Round your answer to four decimal places.
The life of light bulbs is distributed normally. The variance of the lifetime is 625 and the mean lifetime of a bulb is 570 hours. Find the probability of a bulb lasting for between 532 and 599 hours. Round your answer to four decimal places.