An engineer who is studying the tensile strength of a steel alloy intended for use in golf club shafts knows that tensile strength isapproximately normally distributed with o = 60 psi. A random sample of 12 specimens has a mean tensile strength of I = 3450 psi.(a) If the mean strength is 3500 psi, what is the smallest level of significance at which you would be willing to reject the null hypothesis?Use a = 0.01.Round your answer to four decimal places (e.g. 98.7654).The smallest level of significance = i(b) What is the B-error if the true mean is 3470 and a = 0.01?Round your answer to three decimal places (e.g. 98.765).B = i(c) Suppose that you wanted to reject the null hypothesis with probability at least 0.8 if mean strength u = 3470 psi. What samplesize should be used?iSave for LaterAttempts: 0 of 1 usedSubmit Answer

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Answered: An engineer who is studying the tensile…

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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You are a researcher studying the lifespan of a certain species of bacteria. A preliminary sample of 35 bacteria reveals a sample mean of ¯x=76x¯=76 hours. The population standard deviation is known to be 5.6 hours. You would like to estimate the mean lifespan for this species of bacteria to within a margin of error of 0.4 hours at a 90% level of confidence. How many more bacteria should you sample to achieve a 0.4 hour margin of error? n = bacteria
100 specimens are tested in determining the life cycle of a certain type of crank shaft which is used in a particular brand of car engine. The tests have shown an average life cycle of μ=44 Gc (1 Gc = 1 gigacycles = 109 cycles) and a standard deviation of σ=33x10-1 Gc. 200 hundred thousand cars using that engine have been sold and are on the traffic. After what number of Gigacycles would you expect 7 % of the shafts broken down?
In a particular statistics exam, the 10th percentile of final exam score is 59, and the 90th percentile of final exam score is 93. A histogram of the scores approximately follows the normal curve. What is the approximate standard deviation of the final exam scores? Hints: What is the z value in the normal table that gives you closest to 80% of the area between -z and z? Now what does that tell you about the number of SDs in between 59 inches and 93 inches? You might find it helpful to draw a picture of the normal curve with original units and standard units. 13.1 26.2 17.2 6.5
I need letter d. Thank you!
A study is conducted to determine factors in solving missing persons cases. The outcome is Y; which is equal to 1 if the i-th missing person case is unsolved and 0 if it is solved. Let covariate X1; be an indicator equal to 1 if the i-th case is female and 0 for male. Let X2i be a categorical covariate of age group for the i-th case. Categories are less than 14 years old (base level/group), between 14 and 19 years old, and older than 19 years. Set u = P(Y = 1) and the following model is fit: logit(u) = Bo + BịI(Female) + B2I(14 to 19 yrs old) + B3I(> 19 yrs old) The output from the model is below: Estimate S.E. p-value Bo -4.565 0.128 0.380 0.087 B2 Вз -0.198 0.042 0.163 1.128 0.133 a. Using the logistic regression output, calculate the estimated odds ratio of a case being unsolved (again Y=1 is unsolved and Y=0 is solved) comparing females to males (female is the numerator odds) of the same age. Interpret this odds ratio in context of the problem. iii b. Create a 95% confidence…
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You are conducting a study to see if the accuracy rate for fingerprint identification is significantly less than 0.24. Thus you are performing a left-tailed test. Your sample data produce the test statistic z=−2.287z=-2.287. Find the p-value accurate to 4 decimal places.p-value =

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