The shear strength of each of ten test spot welds is determined, yielding the following data (psi). 367 362 415 358 367 373 409 387 389 375 (a) Assuming that shear strength is normally distributed, estimate the true average shear strength and standard deviation of shear strength using the method of maximum likelihood. (Round your answers to two decimal places.) average standard deviation psi psi (b) Again assuming a normal distribution, estimate the strength value below which 95% of all welds will have their strengths. [Hint: What is the 95th percentile in terms of u and o? Now use the invariance principle.] (Round your answer to two decimal places.) psi (c) Suppose we decide to examine another test spot weld. Let X = shear strength of the weld. Use the given data to obtain the mle of P(X ≤ 400). [Hint: P(X ≤ 400) = ((400)/o).] (Round your answer to for decimal places.)
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- Some frozen food dinners were randomly selected from this week's production and destroyed in order to measure their actual calorie content. The claimed calorie content is 200. Here are the calorie counts for each frozen dinner selected: 193 213 193 211 202 192 208 204 186 199 199 186 Assume the distribution of calories is normal. (a) The test statistic (z/t) is ☐. Use two decimals. (b) Does the sample indicate that the mean calorie content is 200? Set a = (c) Find the P-value of the test in (a)-(b). = 0.01. ?Automobile Parts: An important manufacturing process produces cylindrical component parts for the automotive industry. It is important that the process produce parts having a mean diameter of 5.0 millimeters. The engineer involved conjectures that the population mean is 5.0 millimeters. An experiment is conducted in which 100 parts produced by the process are selected randomly and the diameter measured on each. It is known that the population standard deviation is σ = 0.1 millimeter. The experiment indicates a sample average diameter of x = 5.027 millimeters. Does this sample information appear to support or refute the engineer's conjecture?Current Attempt in Progress In the manufacture of electroluminescent lamps, several different layers of ink are deposited onto a plastic substrate. The thickness of these layers is critical if specifications regarding the final color and intensity of light of the lamp are to be met. Let X and Y denote the thickness of two different layers of ink. It is known that X is normally distributed with a mean of 0.1 millimeter and a standard deviation of 0.00031 millimeter, and Y is also normally distributed with a mean of 0.23 millimeter and a standard deviation of 0.00017 millimeter. The value of r for these variables is equal to zero. specifications call for a lamp to have a thickness of the ink corresponding to x in the range of 0.099535 to 0.100465 and Yin the range of 0.22966 to 0.23034 millimeter. What is the probability that a randomly selected lamp will conform to specifications? Round your answer to four decimal places (e.g. 98.7654).
- 2. Compute the mean absolute deviation (MAD) and mean square error (MSE) for the following errors: Period (t) 1 2 3 6 4 5 7 Forecast (F;) 6.5 3.8 9.2 1.2 2.3 8.3 6.5 Error (e,) -2.3 | 1.3 -0.9 | 2.1 0.5 | -3.8 | 2.9 Calculate the actual values also.Suppose in a local Kindergarten through 12th grade (K -12) school district, 49% of the population favor a charter school for grades K through 5. A simple random sample of 144 is surveyed. a. Find the mean and the standard deviation of X of B(144, 0.49). Round off to 4 decimal places. O = b. Now approximate X of B(144, 0.49) using the normal approximation with the random variable Y and the table. Round off to 4 decimal places. Y - N( c. Find the probability that at most 81 favor a charter school using the normal approximation and the table. (Round off to z-values up to 2 decimal places.) P(X 75) - P(Y > a (Z > e. Find the probability that exactly 81 favor a charter school using the normal approximation and the table. (Round off to z-values up to 2 decimal places.) P(X = 81) - P(Thickness measurements of a coating process are made to the nearest hundredth of a millimeter. The thickness measurements are uniformly distributed with values 412, 412.4876, 412.9752, 427.1156. Determine the variance of the coating thickness for this process. Select one: a. 19.02030080 b. 20.26850804 c. 419.55780000 d. 19.04011361 e. 21.55938028Suppose in a local Kindergarten through 12th grade (K -12) school district, 49% of the population favor a charter school for grades K through 5. A simple random sample of 144 is surveyed. a. Find the mean and the standard deviation of X of B(144, 0.49). Round off to 4 decimal places. O = b. Now approximate X of B(144, 0.49) using the normal approximation with the random variable Y and the table. Round off to 4 decimal places. Y - N( c. Find the probability that at most 81 favor a charter school using the normal approximation and the table. (Round off to z-values up to 2 decimal places.) P(X 75) - P(Y > a (Z > e. Find the probability that exactly 81 favor a charter school using the normal approximation and the table. (Round off to z-values up to 2 decimal places.) P(X = 81) - P(A company claims that the mean monthly residential electricity consumption in a certain region is more than 890 kiloWatt-hours (kWh). You want to test this claim. You find that a random sample of 68 residential customers has a mean monthly consumption of 930 kWh. Assume the population standard deviation is 123 kWh. At a =0.10, can you support the claim? Complete parts (a) through (e). (a) Identify Ho and H. Choose the correct answer below. O A. Ho: uS 930 H:u> 930 (claim) B. Ho: uS 890 H:p> 890 (claim) OC. Ho: u> 930 (claim) O D. Ho: u= 930 H u# 930 (claim) H:us 930 O E. Ho: u= 890 (claim) OF Ho: u>890 (claim) Hus 890 H:u#890 (b) Find the critical value(s) and identify the rejection region(s). Select the correct choice below and fill in the answer box within your choice. Use technology. (Round to two decimal places as needed.) A. The critical value is 1.28. O B. The critical values are t. Identify the rejection region(s). Select the correct choice below. O A. The rejection regions are…Q.No.1. Calculate the first four moments about the mean and provide one estimate of skewness and kurtosis of the following distribution. Age 15 16 17 18 19 20 21 22 23 24 Frequency 6 19 13 18 20 25 28 34 22 15Q4 The data in Table Q4 shows the results of the analysis on the effect of compressive strength to the grain on the resin-adjusted density for specimens of radiata pine. Table Q4: Effect of compressive strength Compressive 3224 2587 3785 3520 3083 2711 2241 1640 2081 1852 strength Density 31.2 26.6 | 35.8 | 33.7 31.2 30.8 26.4 18.5 23.1 21.7 (a) Sketch a scatter plot of the data. Then, interpret the relationship between the variables.The MARV value of the grab tensile strength is 1200 N for a geotextile. The standard deviation of this test is 8%, convert the value to: a) average (mean) roll values b) Minimum value at X – 20The shear strength of each of ten test spot welds is determined, yielding the following data (psi). 367 369 380 409 358 375 362 415 389 364 (a) Assuming that shear strength is normally distributed, estimate the true average shear strength and standard deviation of shear strength using the method of maximum likelihood. (Round your answers to two decimal places.) average psi standard deviation psi (b) Again assuming a normal distribution, estimate the strength value below which 95% of all welds will have their strengths. [Hint: What is the 95th percentile in terms of u and o? Now use the invariance principle.] (Round your answer to two decimal places.) psi (c) Suppose we decide to examine another test spot weld. Let X = shear strength of the weld. Use the given data to obtain the mle of P(X ≤ 400). [Hint: P(X ≤ 400) = ((400 - μ)/o).] (Round your answer to four decimal places.)SEE MORE QUESTIONSRecommended textbooks for youMATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th…StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C…StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage LearningElementary Statistics: Picturing the World (7th E…StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. 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