Fill in the blank. Speed Car Rental company found that the tire lifetime for their vehicles has a mean of 49,346.19 miles and standard deviation of 5,799.38 miles. In a sample of 44 tires tested, there is a 72% chance that the average tire lifetime is greater than ________ miles.
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Fill in the blank. Speed Car Rental company found that the tire lifetime for their vehicles...
Fill in the blank. Speed Car Rental company found that the tire lifetime for their vehicles has a mean of 45,964.91 miles and standard deviation of 5,844.84 miles. In a sample of 70 tires tested, there is a 56% chance that the average tire lifetime is less than ________ miles. Question 3 options: 1) 45,859.44 2) 46,070.38 3) There is not enough information to determine this. 4) 45,082.52 5) 46,847.3
Fill in the blank. Speed Car Rental company found that the tire lifetime for their vehicles has a mean of 51,425.88 miles and standard deviation of 5,537.97 miles. In a sample of 64 tires tested, there is a 58% chance that the average tire lifetime is less than ________ miles.
Question 3 (1 point) Fill in the blank. Speed Car Rental company found that the tire lifetime for their vehicles has a mean of 49,038.99 miles and standard deviation of 5,415.52 miles. In a sample of 69 tires tested, there is a 78% chance that the average tire lifetime is less than ________ miles. Question 3 options: 1) 44,857.16 2) There is not enough information to determine this. 3) 53,220.82 4) 49,542.42 5) 48,535.56
Question 17 (1 point) It is reported in USA Today that the average flight cost nationwide is $472.49. You have never paid close to that amount and you want to perform a hypothesis test that the true average is actually less than $472.49. The hypotheses for this situation are as follows: Null Hypothesis: u 2 472.49, Alternative Hypothesis: u < 472.49. If the true average flight cost nationwide is $589.77 and the null hypothesis is rejected, did a type I,...
A sample proportion is calculated from a sample size of 418. How large of a sample would we need in order to decrease the standard error by a factor of 4? Question 3 options: 1) 12,958 2) 7,106 3) 836 4) 6,688 5) 1,672 Question 4 (1 point) Historically, 71.15% of packages delivered by UPS are on time. Suppose 121 deliveries are randomly selected for quality control. What is the probability that greater than 74.74% of the deliveries were on...
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.
Question 1) Llantas Inc. claims that the average life of a certain tire is greater or equal than 25,000 miles under normal driving conditions (assume that the population is normally distributed). A random sample of 16 tires is tested. The mean of the sample is 24,000 miles and the standard deviation of the sample is 4,000 miles. What is the critical value? Use alpha = .05. Question 1 options: 1) -1.00 2) -1.753 3) -1.645 4) 1.753 Question 2 (5...
Penn State Fleet which operates and manages car rentals for Penn State employees found that the tire lifetime for their vehicles has a mean of 50,000 miles and standard deviation of 3500 miles. What is the probability that the sample mean lifetime for these 50 vehicles exceeds 51,000?
Fill in the blank. Suppose that the average starting salary for student with an Economics degree is $70,291.07 with a standard deviation of $8,104.85. A random sample of 185 recent graduates with a job is taken. There is a 28% chance that the average salary is greater than $ ________. Question 11 options: 1) There is not enough information to determine this. 2) 69,943.77 3) 75,014.91 4) 70,638.37 5) 65,567.23
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.