2) A trucking firm suspects that the mean lifetime of a certain tire it uses is less than 40,000 miles. To check the claim, the firm randomly selects and tests 54 of these tires and gets a mean lifetime of 39,460 miles with a population standard deviation of 1200 miles. At = 0.05, test the trucking firm’s claim.
2) A trucking firm suspects that the mean lifetime of a certain tire it uses is...
PLEASE TYPE A trucking firm suspects that the mean life of a certain tire it uses is less than 35,000 miles. To check the claim, the firm randomly selects and tests 18 of these tires and gets a mean lifetime of 34,350 miles with standard deviation of 1200 miles. At α = 0.05, test the trucking firm’s claim.
2.A tire manufacturer claims that the lifetime of its tires are normally distributed with a mean of m = 34,000 miles and a standard deviation of σ = 1200 miles. A trucking firm using these tires suspects that the mean lifetime is less than 34,000 miles. To test the claim, the firm randomly selects and tests 54 of these tires and gets a mean lifetime of 33,390 miles. Use a significance level of a = 0.05 to test the trucking...
Hi could someone help me come up with the workout to the question? I know the answer I just don’t know my way around it. Thank you in advance! to reject the claim. Probability öf Tyen 11) A trucking firm suspects that the mean lifetime of a certain tire it uses is less than 37,000 miles. To 11) check the claim, the firm randomly selects and tests 54 of these tires and gets a mean lifetime of 36,650 miles with...
Please answer all Question 36 1 pts A shipping firm suspects that the mean lifetime of the tires used by its trucks is less than 35,000 miles. To check the claim, the firm randomly selects and tests 54 of these tires and gets a mean lifetime of 34,570 miles with a standard deviation of 1200 miles. At a = 0.05, test the shipping firm's claim. test statistic -2.63; critical value = -1.645; do not reject Ho: There is sufficient evidence...
The lifetime of a certain type of automobile tire (in thousands of miles) is normally distributed with mean =μ39 and standard deviation =σ5. (a) What is the probability that a randomly chosen tire has a lifetime greater than 47 thousand miles? (b) What proportion of tires have lifetimes between 38 and 43 thousand miles? (c) What proportion of tires have lifetimes less than 44 thousand miles? Round the answers to at least four decimal places.
The lifetime of a certain brand of tires is approximately normally distributed, with a mean of 45,000 miles and a standard deviation of 2,500 miles. The tires carry a warranty for 40,000 miles.(Show work please) What proportion of the tires will fail before the warranty period? What proportion of the tires will fail after the warranty expires, but before they have lasted for 41,000 miles? Suppose a sample of 100 randomly selected tires are tested, what is the probability that...
The lifetime of a certain type of automobile tire (in thousands of miles) is normally distributed with a mean of 32 and a standard deviation of 4. Round to the second. a) Find the 50 percentile of tire lifetimes. b) Find the tire life that has 70% above it. c) Find the two tire lives that hold the middle 15% Lower Upper d) The tire company wants to guarantee that its tires will last a certain number of miles. What...
The lifetime of a certain type of automobile tire (in thousands of miles) is normally distributed with mean = 41 and standard deviation = 4. Use the TI-84 Plus calculator to answer the following. (a) Find the 21st percentile of the tire lifetimes. (b) Find the 73rd percentile of the tire lifetimes. (c) Find the first quartile of the tire lifetimes. (d) The tire company wants to guarantee that its tires will last at least a certain number of miles....
QUESTION 11 The lifetime of a certain type of automobile tire (in thousands of miles) is normally distributed with mean N = 43 and standard deviation 0 = 5. What proportion of tires have lifetimes between 40 and 50 thousand miles? O 2.0000 0.3550 1.1935 O 0.6450
A study reports that the mean lifetime of a certain type of tire is 39500 miles with a standard deviation of 986 miles. Random samples of size 150 are taken from this type of tire. What would be the standard deviation of the distribution of the sample means? Round to two decimal places, if necessary.