engineering data 6. A certain company is ordering small parts shipped in large bins from twodifferent suppliers: supplier A and B. We know from history that 2.5% of the partssupplied by A are defective while 5% of the parts supplied by B are defective.Moreover, A supplies 3 times as many parts as B. If an employee randomly selectsa bin and a part inside that bin, what is the probability that the part came fromsupplier a given that it is defective?

Given information: P(defective |A)=2.5%=0.025 P(defective |B)=5%=0.05 P(A)=3P(B) From the condition,…

Answered: 6. A certain company is ordering small…

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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Solve for only b and f Education and mortality The software output below isbased on the mortality rate (deaths per 100,000 people)and the education level (average number of years inschool) for 58 U.S. cities.Variable Count Mean StdDevMortality 58 942.501 61.8490Education 58 11.0328 0.793480Dependent variable is: MortalityR-squared = 41.0%s = 47.92 with 58 - 2 = 56 degrees of freedoma) Comment on the assumptions for inference.b) Is there evidence of a strong association between thelevel of Education in a city and the Mortality rate? Testan appropriate hypothesis and state your conclusion.c) Can we conclude that getting more education is likely(on average) to prolong your life? Why or why not?d) Find a 95% confidence interval for the slope of thetrue relationship.e) Explain what your interval means. *f) Find a 95% confidence interval for the averageMortality rate in cities where the adult populationcompleted an average of 12 years of school.
Interpretation of the estimated coefficients of a Linear Regression Equation
Breakfast cereals We saw in Chapter 7 that the calorie con-tent of a breakfast cereal is linearly associated with its sugar content. Is that the whole story? Here’s the output of aregression model that regresses Calories for each serving onits Protein(g), Fat(g), Fiber(g), Carbohydrate(g), andSugars(g) content.Dependent variable is CaloriesR-squared = 84.5, R-squared (adjusted) = 83.4,s = 7.947 with 77 - 6 = 71 degrees of freedomSource Sum ofSquares dfMeanSquare F-RatioRegression 24367.5 5 4873.50 77.2Residual 4484.45 71 63.1613Variable Coefficient SE(Coeff) t-Ratio P-ValueIntercept 20.2454 5.984 3.38 0.0012Protein 5.69540 1.072 5.32 60.0001Fat 8.35958 1.033 8.09 60.0001Fiber -1.02018 0.4835 -2.11 0.0384Carbo 2.93570 0.2601 11.3 60.0001Sugars 3.31849 0.2501 13.3 60.0001Assuming that the conditions for multiple regressionare met,a) What is the regression equation?b) Do you think this model would do a reasonably goodjob at predicting calories? Explain.c) To check the conditions, what…
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The final grade in a particular course is determined by grades on the midterm and final. The grades for five students and the two grading systems are modeled by the following matrices. Call the first matrix A and the second B. Complete parts (a) and (b). Click to view the matrices. a. Describe the grading system that is represented by matrix B. Grading system 1 assigns 50% of the final grade to the midterm and 50% of the final grade to the final. Grading system 2 assigns 20% of the final grade to the midterm and 80% of the final grade to the final. b. Compute the matrix AB and assign each of the five students a final course grade first using system 1 and then using system 2. (89.5-100=A, 79.5-89.4 = B, 69.5-79.4 = C, 59.5-69.4D, below 59.5 = F) Grade System 1 System 2 ... Student 1 Student 2 Student 3 Student 4 Student 5 (Type A, B, C, D, or F.)
Beginning Inventory $11,500 Daily Alternative Purchases (+) $1,000 Produce Purchases (+) $550 Protein Purchases (+) $1,000 Dry Goods Purchases (+) $1,000 Total Available = $15,050 Ending Inventory (-) $10,900 Food Cost (COGS) (=) $4,100 Revenue (Sales) (+) $12,500 Food Cost % (=) 32.8% If the Revenue (sales) decreases and everything else remains the same, what happens to the Food Cost percentage? a. Food cost % increases because the ratio of food cost to revenue will be higher b. Food cost % decreases because the ratio of food cost to revenue will be higher c. Food cost % increases because the ratio of food cost to revenue will be lower d. Food cost % decreases because the ratio of food cost to revenue will be lower
eBook Show Me How Question Content Area Income Statements under Absorption Costing and Variable Costing Gallatin County Motors Inc. assembles and sells snowmobile engines. The company began operations on July 1 and operated at 100% of capacity during the first month. The following data summarize the results for July: Sales (4,000 units) $2,600,000 Production costs (4,350 units): Direct materials $1,218,000 Direct labor 522,000 Variable factory overhead 87,000 Fixed factory overhead 130,500 1,957,500 Selling and administrative expenses: Variable selling and administrative expenses $60,000 Fixed selling and administrative expenses 25,000 85,000 Question Content Area a. Prepare an income statement according to the absorption costing concept. Gallatin County Motors Inc.Absorption Costing Income StatementFor the Month Ended July 31 $Sales Cost of goods sold $Gross profit Selling and…
Monthly savings in PKR DR 125000 10 85000 15 105000 28 98000 35 54000 44 800000 56 55000 68 7000 74 24000 28 0 35 Suppose that we have data on “Monthly savings in PKR” and “dependency Ratio (DR)”(percentage share of non-earners to earners, in a family). Run a regression that can help us predict the monthly savings, given the data of DR. Predict monthly savings, if DR=10, and if DR=90; interpret the results in terms of prediction accuracy

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