**Problem 6**An aircraft manufacturer needs to buy aluminum sheets with an average thickness of 0.05 inch. Due to the manufacturer’s production philosophy, it requires a particular quantity of aluminum sheets to be delivered on time with a short lead time of no more than four days (time between when the manufacturer places the order for aluminum and when that order arrives from the supplier). The manufacturer is considering an aluminum supplier but is concerned with the supplier’s ability to meet lead time. The supplier provided a sample of lead times required to fill order sizes similar to what the manufacturer expects, provided in hours below.88, 97, 104, 98, 88, 103, 104, 92, 95, 102a. Use the p-value approach to determine if the aircraft manufacturer should buy aluminum sheets from the supplier based on average lead time. Assume 90% confidence to draw a conclusion.b. For which values of the sample mean would the aircraft manufacturer decide to buy sheets from this supplier, assuming α = 0.05?**Explanation of Text**The problem involves statistical analysis to determine if an aircraft manufacturer should purchase aluminum sheets from a supplier based on lead time data. The manufacturer seeks deliveries with an average lead time of no more than four days and has a sample data set of lead times from the supplier. The tasks involve:- **Part a:** Performing a hypothesis test using the p-value approach to check if the average lead time meets the required standard at a 90% confidence level.- **Part b:** Identifying sample mean values under which the manufacturer would decide to proceed with purchasing, using a significance level (α) of 0.05.

Answered: Image /qna-images/answer/1d2262d8-76a0-4bd7-8867-f764bb4de7e5.jpg

Answered: ft manufacturer needs to buy aluminum…

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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Please answer quickly and correctly The Samsung plant in Newberry is an assembly plant for home appliances. They assembly three types of appliances including washing machine, dishwasher, and oven (reference by W, R, and O). Each type of appliance is produced in a different assembly line which has some amount of output per day. Let’s imagine a quality engineer has gathered the following data in Table 1 from a small period of production, counting the number of products with defects and without defects. Let D indicates a defective product and ND indicates not defective. Washing Machine Dishwasher Oven: Defective 5 2 15 Not defective 63 86 45 Table 1: Number of products with and without defects by type a. Overall, what is the probability that a randomly selected product is defective? b. What is the probability that a randomly selected product is an oven? c. What is the probability that a product is defective, given it is an oven? d. What is the probability that a product is…
Balls, Inc. produces two products, Squid Balls (S) and Fish Balls (F), in two departments, the Mixing Department and Deep Frying Department. Production of the two products (combined) during any period cannot exceed 23,700 kilos. Data on the two products follow: Squid Balls (S) Fish Balls (F) Total time available (minutes) Contribution margin per kilo P40 30 TIME REQUIRED (Minutes) Mixing (M) 3.0 1.5 48,000 Which of the following is not a constraint function for this linear programming problem? a. 3S+ 1.5F 48,000 c. S+ F≤ 23,700 b. 2S+ 3.6F ≤ 72,000 d. CM = 40S + 30F Deep Frying (D) 2.0 3.6 72,000
4. (Exam 1 Summer 2020) Use the preamble below to answer the questions that follow An experiment to gain a better understanding of the role of various substances in melting ice was run in 2004 by Edinson Cavani, a researcher, in a certain lab in Memphis, TN. For each observation, a 10 ml block of ice was placed into water containing a given concentration of sugar, or salt, or a sugar and salt mix. The melting time for the ice block was measured in seconds and then converted to minutes. The three factors of interest were shape of ice block (lozenge, cylinder, and cube), solute (sugar, salt, and equal mix of sugar and salt), and concentration (5%, 10% 15%, 20%). (a) What is the response(outcome) variable for this study? Answer: (b) How many unique treatment combinations are there? Suppose there were two replicates per treatment combination, what is the total number of trials? i. Number of unique treatment combinations ii. Total number of trials Answer: Answer: (c) Would you say the…
6. In a field experiment, the earth worm densities observed in different sites with varying soil moisture regimes are given below. Is there any relationship between the soil moisture and earth worm densities: Moisture % 6 25 12 8 16 20 30 22 27 31 Earth worm density (No./m2) 0 5 3 14 10 12 14 6
9) Find L3.2 (5) using the nodes xo = 3,x1 = 4, x2 = 6 ,x3 = 8 %3D
FACTORS FOR I AND R CONTROL CHARTS Observations in Sample, n dz A2 dz D3 D4 2 1.128 1.880 0.853 3.267 3 1.693 1.023 0.888 2.574 4 2.059 0.729 0.880 2.282 5. 2.326 0.577 0.864 2.114 6. 7. 2.534 0.483 0.848 2.004 2.704 0.419 0.833 0.076 1.924 8. 2.847 0.373 0.820 0.136 1.864 2.970 0.337 0.808 0.184 1.816 10 3.078 0.308 0.797 0.223 1.777 11 3.173 0.285 0.787 0.256 1.744 12 13 3.258 3.336 3.407 0.266 0.249 0.235 0.778 0.770 0.763 0.283 1.717 0.307 1.693 1.672 1.653 14 0.328 15 3.472 0.223 0.756 0.347 3.532 0.212 0.750 0.744 0.739 0.363 0.378 0.391 16 1.637 17 18 3.588 0.203 1.622 3.640 0.194 1.608 19 20 3.689 3.735 0.187 0.734 0.403 1.597 0.180 0.729 0.415 1.585 21 22 3.778 3.819 1.575 1.566 0.173 0.724 0.425 0.434 0.167 0.720 23 24 25 3.858 3.895 3.931 0.162 0.157 0.153 0.716 0.712 1.557 1.548 0.443 0.451 0.708 0.459 1.541
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Please review Section 11.1. Are you an impulse shopper? A survey of 800 grocery shoppers indicated that 36% of males and 42% of females make an impulse purchase every time they shop. Assume that the survey consisted of 400 males and 400 females. Let group 1 be the males and let group 2 be the females. a = 0.01 H, :T, = R, H :, # R, Calculate the test statistic: (Round to three decimal places as needed.) Determine the critical value: (Round to three decimal places as needed.) State the Conclusion: Please review Section 12.2. An agent for a residential real estate company in a suburb located outside a major city has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward the goal, the agent would like to use the size of an apartment, as defined by square footage to predict the monthly rental cost. The agent selects a sample of 8 one-bedroom apartments and the data are shown. Size (Square Feet) Monthly Rent ($) 875 1550 850 1350 950…
3) Two suppliers are bidding for a customer's business. Both are similar in cost, percentage of on-time deliveries, etc. The final decision will be based on which supplier provides the "best" quality. The process outputs for suppliers A and B are displayed below. Supplier A's process has half the variation as B's, but is centered halfway between the middle of the tolerance and the USL, with 0.1% above the USL. Supplier B, on the other hand, is centered exactly at the middle of the tolerance, with 0.1% of its output outside each of the two specifications. Other estimates: SD (A): 0.809 SD (B): 1.618 Supplier A 52.5 Supplier B Supplier A has 0.5% 0.5% defects 0.25% 0.25% Supplier B has 0.25 % defective both sides LSL-45 50 USL-56 Questions 3||3a) What is the Cp of Supplier A? 4||3b)What is the Cp of Supplier B? 5||3c) What is the Cpk of supplier A? 6||3d) What is the Cpk of Supplier b? 7||3e) Who should get the bid award? 8||3f) Per 1000 products, how many good products has Supplier A…
10. An engineering study was undertaken to determine the optimum thickness of aluminum to be used to construct cans to be used for cat food. Cans made of aluminum of thickness 2.10 mm and 1.90 mm were tested to determine the maximum load each would sustain before collapsing. The sample data is summarized below. Use a = 0.05 to test the claim that the thicker cans are stronger (will withstand a higher load). 2.10 mm thick 1.90 mm thick sample size 175 170 mean maximum load (kg) 28.18 26.71 standard deviation of maximum load (kg) | 2.78 2.21
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