The following observations were made on fracture toughness of a base plate of 18% nickel maraging steel (in ksi ✓in., given inincreasing order)]:65.2 71.9 72.9 73.1 73.3 73.5 75.5 75.7 75.8 76.1 76.276.2 77.0 77.9 78.4 79.6 79.7 79.9 80.1 82.2 83.9 93.7Calculate a 99% CI for the standard deviation of the fracture toughness distribution. (Round your answers to one decimal place.)])₁ ksi vinIs this interval valid whatever the nature of the distribution? Explain.The distribution needs to be approximately normal.O The distribution needs to be skewed the right.O The distribution needs to be approximately uniform.O The interval is always valid.You may need to use the appropriate table in the Appendix of Tables to answer this question.

Answer Given,X X^265.2 4251.0471.9 5169.6172.9…

Answered: The following observations were made on…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The diameter of a metal shaft used in a disk-drive unit is normally distributed with mean 0.2508 in. and std. dev. 0.0005 in. The specification on the shaft have been established as (0.25-0.0015 in, 0.25+0.0015in) If the process mean has been adjusted to 0.25 in, what fraction of the shafts produced does NOT conform to specifications? a). 0.0027 b). 0.0013 c).0.08 d). 0.16
Consider the highest daily snowfall accumulation in Montréal per winter season, measured at the Montréal Airport from 1964/65 to 2014/15. The measurements in cm are as follows: maxsnow ## [1] 15.2 25.4 32.8 14.5 23.6 37.8 43.2 22.9 20.3 21.1 25.7 24.6 25.9 22.5 32.8 ## (16] 19.6 11.0 18.2 10.8 21.3 22.0 13.6 21.8 21.0 21.2 12.2 20.2 17.2 40.0 27.8 ## [31] 13.2 20.8 21.4 23.6 35.8 33.9 31.0 18.8 15.8 18.8 17.2 41.2 35.2 31.8 23.8 ## [46] 29.8 20.4 16.0 45.6 20.8 20.0 (a) Is this data a realization of a random sample? Provide rationale for your answer (you may list pros and cons if you like). (b) Which population quantities (mean, variance, probabilities of certain events) would you like to use these data to estimate and why? (The answers to these questions are subjective).
The table below lists weights (carats) and prices (dollars) of randomly selected diamonds. All of the diamonds are round with ratings of very good" cut, they all have a color rating of F (slight color"), and a clarity rating of VSI (very slightly included"). The values are based on data from the retailer Blue Nile. Weight 0.3 0.4 0.5 0.5 1.0 0.7 Price 510 1151 1343 1410 5669 2277 Use a 95% confidence level to find the prediction interval for the price of a diamond that weights 0.8 carats. $2551
8:704 0.27
70 193 6. 7 Expected: do8Ages Agree Disagree 49.119171 57.3056995 51.57513 Neutral 9 18-40 10 41-59 10.880829 12.6943005 11.42487 11 12 13 Chi-Square 0.40452894 14 You Can Do This Test the hypothesis as to whether or not the cases of fatal accidents are related to the sizes of vehicles as perceived by respondents. Use a = 1% Responses Large (Heavy, Cargo Trucks) Medium Small (Cars/ Motors) Cases (Buses) 300 150 50 Fatal 100 40 90 Not Fatal 207 TEST OF HYPOTHESIS IN ENUMERATION DATA ANALYSIS
2.42 (EX) Golden orb weavers 1/3: Spider silk is the strongest known material, natural or man-made, on a weight basis. A study examined the mechanical properties of spider silk using 21 female golden orb weavers, Nephila clavipes. Here are data on silk yield stress, which represents the amount of force per unit area needed to reach permanent deformation of the silk strand. The data are expressed in megapascals (MPa). 0.04 0.11 0.16 0.07 0.13 0.1 0.17 0.25 0.36 0.33 0.29 0.14 0.32 0.57 0.31 0.79 0.49 0.64 0.6 0.99 0.81 Min = Q1 = M = Q3 = Max = X = . Round your answer to 3 decimal places. . Round your answer to 3 decimal places. . Round your answer to 3 decimal places. . Round your answer to 3 decimal places. . Round your answer to 3 decimal places. Round your answer to 4 decimal places.
This figure, presents the percentage deviation from the 60:40ratio in the market values of equity of Royal Dutch and Shell between September 1980 andSeptember 1995. 1. What is the main finding of this Figure?2. What is the explanation for the finding?
QUESTION 2 5.42a: What assumption do you need to make, in order to make your answer appropriate and applicable Hint: L-11, p. 18 That the pickup schedule is random That the volumes are normally distributed None of the above That the population and sample standard deviations are equal
Hi, I need help with b), c), d) please. Suppose the value of Young's modulus (GPa) was determined for cast plates consisting of certain intermetallic substrates, resulting in the following sample observations: 116.7 115.8 114.8 115.4 115.5 (a) Calculate x.115.64Calculate the deviations from the mean. (Enter your answers to two decimal places.) x 116.7 115.8 114.8 115.4 115.5 deviation 1.06 .16 -.84 -.24 -.14 (b) Use the deviations calculated in part (a) to obtain the sample variance and the sample standard deviation. (Round your answers to three decimal places.) s2 = GPa2 s = GPa (c) Calculate s2 by using the computational formula for the numerator Sxx. (Round your answer to three decimal places.) GPa2(d) Subtract 100 from each observation to obtain a sample of transformed values. Now calculate the sample variance of these transformed values. (Round your answer to three decimal places.) GPa2
Suppose the incidence rate of myocardial infarction (MI)was 5 per 1000 among 45- to 54-year-old men in 2000.To look at changes in incidence over time, 5000 men in thisage group were followed for 1 year starting in 2010. Fifteennew cases of MI were found. Q.)Suppose that 25% of patients with MI in 2000 died within24 hours. This proportion is called the 24-hour case-fatalityrate. 7.14 Of the 15 new MI cases in the preceding study,5 died within 24 hours. Test whether the 24-hour casefatality rate changed from 2000 to 2010. 7.15 Suppose we eventually plan to accumulate 50 MIcases during the period 2010–2015. Assume that the24-hour case-fatality rate is truly 20% during this period.How much power would such a study have in distinguishingbetween case-fatality rates in 2000 and 2010–2015 if atwo-sided test with significance level .05 is planned? 7.16 How large a sample is needed in Problem 7.15 toachieve 90% power?
10. a.) Find the z-value such that 80 percent of the area under the standard normal curve lies between -z and z. b). Find the z value if the normal curve area to the right of z is 0.6449. is from N(0,1) de in a cmall town at California is 0.2 everyday, what is the
Using Excel, what z would be chosen if the critical ratio is .95?

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