Two engineers were asked to estimate the average life of their company's batteries. Engineer 1 set an estimate of 27.5 hours with a standard deviation of 5hours. On the other hand, engineer 2 estimated the mean to be 31 hours with a standard deviation of 6 hours. If the population mean is 30.5 hours, what are themean squared errors of each estimate and which should be selected by the company as the optimal?Mean Squared Error (Engineer 1):Mean Squared Error (Engineer 2):Optimal: Engineer(Answer either 1 or 2)

Answered: Image /qna-images/answer/aeaf593e-e0f5-4f5b-8012-370d1f92de9b.jpg

Answered: Two engineers were asked to estimate…

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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The relationship between birth weight and IQ were studied. 258 subjects with extremely low birth weights had Wechsler IQ scores at age 8 with a mean of 95.5 and a standard deviation of 16.0. For 220 individuals with normal birth weights, the mean at age 8 is 104.9 and the standard deviation is 13.8. Assume that the standard deviations are different, and determine if IQ score appears to be affected by birth weight. Use a = 0.1. 2a. b. Compute a 95% confidence interval on the difference between the means.
You are comparing data from two similar experiments that have a mean of 53. Experiment A has a standard deviation of 3.4 and experiment B has a standard deviation of 1.5. What does this tell you about the data in the experiments?
To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 45 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 46 feet. Assume the population standard deviation is 4.3 feet. At a= 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? ASsume the samples are random and independent, and the populations are normally distributed. Complete parts (a) through (e). Click here to view page 1 of the standard normal distribution table, Click here to view page 2 of the standard normal distribution table. 19.82 of 24 pts Question Help v O (a) Identify the claim and state Ho and H What is the claim? O A. The mean braking distance is greater for Make A automobiles than Make Bautomobiles. O B. The mean braking distance is…
A manufacturer of light bulbs finds that one light bulb model has a mean life span of 1030 h with a standard deviation of 83 h.Find the z-scores for lightbulbs which last 840 and 890 h. (Round your answers to two decimal places.) The z-score for 840 h is -2.29; the z-score for 890 h is -1.69.Using the answers from Step 1, what percent of these light bulbs will last between 840 and 890 h? (Round your answer to one decimal place.)
Because the mean is very sensitive to extreme values, it is not a resistant measure of center. By deleting some low values and high values, the trimmed mean is more resistant. To find the 10% trimmed mean for a data set, first arrange the data in order, then delete the bottom 10% of the values and delete the top 10% of the values, then calculate the mean of the remaining values. Use the axial loads (pounds) of aluminum cans listed below for cans that are 0.0111 in. thick. Identify any outliers, then compare the median, mean, 10% trimmed mean, and 20% trimmed mean. 246 259 268 274 275 278 280 283 285 285 286 288 289 292 294 294 296 299 309 506 Identify any outliers. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. OA. The outlier(s) is/are pounds. (Type a whole number. Use a comma to separate answers as needed.) B. There are no outliers.
Mason earned a score of 226 on Exam A that had a mean of 250 and a standard deviation of 40. He is about to take Exam B that has a mean of 550 and a standard deviation of 25. How well must Mason score on Exam B in order to do equivalently well as he did on Exam A? Assume that scores on each exam are normally distributed.
An advertisement for a new toothpaste claims that it reduces cavities of children in their cavity-prone years. Cavities per year for their age group are normal with mean 3 and standard deviation 1. A study of 2500 children who used their toothpaste found an average of 2.95 cavities per child. Assume that the standard deviation of the number of cavities of a child using this new toothpaste remains equal Problem 1. to 1. (a) Are these data strong enough, at the 5 percent level of significance, to establish the claim of the toothpaste advertisement? Use the test statistic approach. (b) Without doing any recalculation, do you think there would be a change in the conclusion in part (a) if you decrease the level of significance to 1 percent? Explain your answer.
A student writes the following interpretation of the slope: "The slope of 0.0577 represents the change in Infant mortality rate for a one unit increase in the child death rate.". Is this interpretation correct? Justify.
Shen, a highway safety inspector, is concerned about the potential for accidents caused by boulders that fall down a sandstone cliff beside a main highway. As part of an accident simulator, Shen models the boulders' weights using a normal distribution with a mean of 565 kg and a standard deviation of 150 kg. Use this table or the ALEKS calculator to find the percentage of boulders that weigh between 733 kg and 859 kg according to the model. For your intermediate computations, use four or more decimal places. Give your final answer to two decimal places (for example 98.23%). 00
I don’t know how to calculate ‘d.’ into my TI-84 Plus calculator. Please show me step by step.
The regression line for a set of data will have little meaning unless: Select one: a. the correlation coefficient is significant. b. the slope of the regression line is zero. c. the standard deviation of errors is zero. d. there are at least 30 data points chosen.
To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 40 feet. Assume the population standard deviation is 4.9 feet. The mean braking distance for Make B is 44 feet. Assume the population standard deviation is 4.6 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) through (e). Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. (a) Identify the claim and state H, and Ha. What is the claim? A. The mean braking distance is different for the two makes of automobiles. B. The mean braking distance is less for Make A automobiles than Make B…

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