Four undisturbed samples were taken from a stiff clay deposit. Un-drained triaxial tests on these samples gave the following values for custhe undrained shear strength values:102, 98, 95, 109 (kN/m²).Determine the minimum number of samples of the clay that should betaken so that, within a 95% probability, the average in-situ undrainedshear strength value will be within 5% of the mean test result.

Answered: Image /qna-images/answer/4a511e4f-e9d9-4eae-8c31-153d0e3e95a2.jpg

Answered: Four undisturbed samples were taken…

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 quality inspector measured the diameter of a ball bearing using a new type of caliper. The results were as follows (in mm): 0.265, 0.263, 0.266, 0.267, 0.267, 0.265, 0.267,0.267, 0.265, 0.268, 0.268, and 0.263. Use the Wilcoxon signed-rank test to evaluate the claim that the mean ball diameter is 0.265 mm. Use a = 0.05. Match the answers. - v Parameter of Interest: a. H:u = 0.265 v Null and Alternative Hypothesis H:µ > 0.265 v Test Statistic: b. w = min (w+,w-) v Reject the Null Hypothesis if: c. Fail to reject the null hypothesis. v Conclusion: w = 9 is not less than or equal to the critical value w 0.05.1=9= 5 d. Mean ball diameter e. Reject the null hypothesis. The mean ball diameter claim is not 0.265 mm. f. H:u = 0.265 H:µ + 0.265 g.r = min (R+,R-) h. Η: μ:0.265 H:u < 0.265 i. w < wo.05. J=12 = 13 j. w < W0.05. n=9
The Amercian Water Works Association reports that the per capita water use in a single family home is 69 gallons per day. A new housing development agency had builders intall more efficient water fixtures and conducted a survey of residents. 36 residents responded and the sample mean water use was 64 galons with a SD of 8.8 gallons per day. At the 0.10 level of significance, is that enough evidence to conclude that these residents surveyed are using less water on average ?
please dont use excel. only handwriyten
Assume that ui and µ2 are the averages of maximum speeds of new high-tech electric scooter types. Use the t test at significance level 0.01 to test Ho: µi - µ2 = -18 versus H.: μι - μ2<18 for the following data: ni = 6, x1=117.8, si=5.06, n2 = 6, xz= 128.2, and s2 = 5.28. (where n, , and s denote the sample size, sample mean and sample standard deviation respectively.) %3D
I am getting different answers for this homework question, section (b) as I previous had 369.96, 399.63, 420.78, and now 418.9173.
Q4: The diameter of a shaft in an optical storage drive is normally distributed with mean 0.2408 inch and standard deviation 0.0005 inch. The specifications on the shaft are 0.2400±0.001 inch. a) What proportion of shafts conforms to specifications? b) If the process is centered so that the process mean is equal to the target value of 0.2400, then what proportion of shafts conforms to specifications now?
Compute for the z-values that corresponds to a STATISTICS score of 85 given that µ=75 and ?=12.
Q4: The diameter of a shaft in an optical storage drive is normally distributed with mean 0.2408 inch and standard deviation 0.0005 inch. The specifications on the shaft are 0.2400±0.001 inch. a) What proportion of shafts conforms to specifications? b) If the process is centered so that the process mean is equal to the target value of 0.2400, then what proportion of shafts conforms to specifications now?
PT. X is an industry engaged in concrete steel with various diameter sizes. The product that is mostly produced is concrete iron with a diameter of 12 mm because it suits the needs of consumers and the current pandemic conditions. During the period from January to December 2019, PT. X is capable of producing as many as 6800 tonnes of units. From the results produced, there is a product defect of 70.4 with the type of product damage, namely overfill (wing), overlap (excessive shape), underfill (kempong) and scratch (beret). In that period, defects were found above the tolerance limit of 2%, namely at week 5 and week 12 of 2.42% and 2.21%. During the production process PT.X has a 2% probability of producing defective products. If you check is 065, then determine:a. P(X=0)b. P(X=1)c. P(X=2)d. P(X≤2)e. P(X≥3)
Assume for a moment that the distribution of weight of adult is approximately normal with a mean of 179.8 lb and a standard deviation of 93.0 lb find the probably that a randomly selected adult would have a weight at most 272.8 lb A) 0.9413 B) 0.2583 C) 0.8413 D) 0.1583

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