In a test of the mean time to repair automobile hail damage, sixteen randomlyselected hail-damaged vehicles were examined for the number of days it took for therepair shop to get the parts and have the vehicle ready for the owner. Given thefollowing information, can we conclude that the mean repair time exceeds 12business days? Use = 0.01.N Mean Std Dev1615.314.66andDF15t Value2.84Pr> t0.0062The mean number of days to repair is more than 12 business days (α = 0.01, t = 2.84, p =0.0062).The mean number of days to repair is not more than 12 business days (α = 0.01, t = 2.84, p =0.0062).The mean number of days to repair is more than 15.3 business days (α = 0.01, t = 2.84, p =0.0062).The mean number of days to repair is more than zero business days (= 0.01, t = 2.84, p =0.0062).

Sol:- The correct answer is: The mean number of days to repair is more than 12 business days (a =…

Answered: In a test of the mean time to repair…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A hypertension trial is mounted, and 12 participants are randomly assigned to receive either a new medication or a placebo. Each participant takes the assigned medication, and the participants’ SBP is recorded after 6 months on the assigned medication. The data are shown in Table 7–9. Is there a difference in mean SBP between treatments? Run the appropriate test at a = 0.05. Placebo New Medication 134 114 143 117 148 121 142 124 150 122 160 128
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A certain prescription medicine is supposed to contain an average of 250 parts per million (ppm) of a certain chemical. If the concentration is higher than this, the drug may cause harmful side effects; if it is lower, the drug may be ineffective. The manufacturer runs a check to see if the mean concentration in a large shipment conforms to the target level of 250 ppm or not. A simple random sample of 100 portions is tested, and the sample mean concentration is found to be 247 ppm. The sample concentration standard deviation is s = 12 ppm. What are the appropriate null and alternative hypotheses? Group of answer choices H 0: x̄ = 250 vs. H a: x̄ < 250 H 0: x̄ = 250 vs. H a: x̄ ≠ 250 H 0: x̄ = 250 vs. H a: x̄ > 250 H 0: μ = 250 vs. H a:μ < 250 H 0: μ = 250 vs. H a: μ ≠ 250 H 0: μ = 250 vs. H a: μ > 250
Each person in random samples of 227 male and 293 female working adults living in a certain town in Canada was asked how long, in minutes, his or her typical daily commute was. Is there enough evidence to show that there is a difference in mean commute times for male and female working residents of this town? (Use males females) Male Female Sample size X S Sample size x S 227 30.2 24.0 293 27.9 24.3 Find the test statistic. (Round your answer to two decimal places.) Find the df. (Round your answer down to the nearest whole number.) df= Use technology to find the P-value. (Round your answer to four decimal places.) P-value= Is there enough evidence to show that there is a difference in mean commute times for male and female working residents of this town? Use a significance level of 0.05. Yes No
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What is the IQR for the following box-and-whisker data: Min = 154, LQ = 180, Med = 197.5, UQ = 211, Max = 265 O a. 26 O b. 43.5 O c. 111 O d. 31
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