Question3:An aluminum master alloy manufacturer producesgrain refiners in ingot form. The company produces the prod-uct in four furnaces. Each furnace is known to have its own (a) Is there any evidence that stirring rate affects grainunique operating characteristics, so any experiment run in thefoundry that involves more than one furnace will consider fur- (b) Graph the residuals from this experiment on a normalnaces as a nuisance variable. The process engineers suspectthat stirring rate affects the grain size of the product. Each fur-nace can be run at four different stirring rates.size?probability plot. Interpret this plot.(c) Plot the residuals versus furnace and stirring rate. Doesthis plot convey any useful information?(d) What should the process engineers recommend con-cerning the choice of stirring rate and furnace forthis particular grain refiner if small grain size isFurnaceStirring Rate (rpm)134desirable?58.46.101456.9.15146.6.2017936.2.

An aluminium master alloy manufacturer produces grain refiners in ingot form. The company produces…

Answered: An aluminum master alloy manufacturer…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Please help me with this question.
1. Two correlation coefficients obtained from samples of size 23 and 28 were computed to be 0.80 and 0.95, respectively. To conclude at levels of 0.05 that whether there is a significant difference between them: a) Compute the test statistics? b) What is your conclusion?
(b) A rescarcher supccts that the fish in a particular elevated wetland have elevated mercury level. To confirm that, five striped bass in that wetland were caught and their tissues were tested for mercury. Then four striped bass in an unpolluted wetland were also caught and tested for the purpose of comparison. Table QI shows the fish mercury levels in mg/kg. Table QI shows the fish mercury levels in mg/kg. Sample from polluted wetland Sample from unpolluted wetland 0.580 0.382 0.711 0.276 0.571 0.570 0.666 0.366 0.598 Construct the 95% confidence interval for the difference in the population means. Then, test at the 5% level of significance, whether the researcher's suspicion is valid. Assume that the population variances are equal.
2. In building an arena, steel bars with a mean ultimate tensile strength of 400 Megapascal (MPa) with a variance of 81 MPa were delivered by the manufacturer. The project engineer tested 50 steel bars and found out that the mean ultimate tensile strength is 390 MPa. The decision for the extension of the contract with the manufacturer depends on the engineer. Test the hypothesis whether there is no significant difference between the two means using a two - tailed with a = 0.01.
It is hypothesized that the total sales of a corporation should vary more in an industry with active price competition than in one with duopoly and tacit collusion. In a study of the merchant ship production industry it was found that in 4 years of active price competition, the variance of company A’s total sales was 114.09. In the following 7 years, during which there was duopoly and tacit collusion, this variance was 16.08. Assume that the data can be regarded as an independent random sample from two normal distributions. 1. Test, at the 5% level, the null hypothesis that the two population variances are equal against the alternative that they are not equal.
QUESTION 4 In general, an experienced quality control inspector of measurement of sheet metal stamping would have a variance of 0.18 (inch)². A new joint inspector measures 101 stampings with variance of 0.165 (inch)². Assume data is normally distributed, by using 95% significance level, test whether the new joint inspector is making satisfactory measurements. QUESTION 5 A marketing study was done on consumer from two age groups for their spending on 20 categories of consumer items. Based on 15 respondents in the 18 – 34 age group, the average spending is RM76.40 with a variance of RM25.30. Meanwhile, based on 18 respondents in the 35+ group, the mean and variance were RM71.20 and RM22.20 respectively. By assuming the population variance are not equal, test if there is any difference in the mean spending between these two populations in 95% significance level.
Seedlings of understory trees in mature tropical rainforests must survive and grow using inter- mittent flecks of sunlight. How does the length of exposure to these flecks of sunlight (fleck duration) affect growth? Leakey et al. (2005) experimentally irradiated seedlings of the Southeast Asian rainforest tree Shorea leprosula with flecks of light of varying duration while maintaining the same total irradiance to all the seedlings. Their data for 21 seedlings are listed in the following table. i. What is the rate of change in relative growth rate per minute of fleck duration? provide a standard error for your estimate. ii. using these data, test the hypothesis that fleck duration affects seedling growth rate. iii. Calculate a 99% confidence interval for the slope of the population regression.
An experimental study examined whether method of daily announcement affects worker productivity. A factory with two facilities with similar worker productivity percentages participated in the study. One facility delivered daily announcements all day on a screen located in the break room. Worker productivity percentages were compared between the two facilities. What is the independent variable? what is the dependent variable? What is the null hypothesis? what is the alternative/research hypothesis? If they reported t(25=1.95 and it is two-tailed, using the critical value, what is tcv? what should the researcher conclude about the null hypothesis? (reject/fail to reject)
Mr. X is a resident of Wakanda Ward who is concerned with the recent low turnout in local elections in this area. In an effort to understand the occurrence, Mr. Mbewe conducted research investigating the factors that drive an individual’s decision to participate in voting at Local Government level. He has managed to conduct and obtain an output from Stata but is struggling with results interpretation. The following are the output results from Stata: RSS = 28238.59 TSS= 35570.90 Adjusted R-squared = 0.2016 Constant = -0.762 Independent Variable Coefficient Standard Error P-value Income (in Kwacha) 0.310 - 0.003 Age (years) 0.358…
During the spring of 1999, many fuel storage facilities in Serbia were destroyed by bombing. As a result, significant quantities of oil products were spilled and burned,resulting in soil pollution. The article “Mobility of Heavy Metals Originating from Bombing of Industrial Sites” (B. Škrbić, J. Novaković, and N. Miljević, Journal of Environmental Science and Health, 2002:7–16) reports measurements of heavy metal concentrations at several industrial sites in June 1999, just after the bombing, and again in March of 2000. At the Smederevo site, on the banks of the Danube River, eight soil specimens taken in 1999 had an average lead concentration (in mg/kg) of 10.7 with a standard deviation of 3.3. Four specimens taken in 2000 had an average lead concentration of 33.8 with a standard deviation of 0.50. Find a 95% confidence interval for the increase in lead concentration between June 1999 and March 2000.
sto ave 12.72 (M4) The authors of the paper "Serum Zinc Levels of Cord Blood: Relation to Birth Weight and Gestational Period" (Journal of Trace Elements in Medicine and Biology [2015]: 180-183) car- ried out a study of zinc levels of low-birth-weight babies and normal-birth-weight babies. For a sample of 50 low- birth-weight babies, the sample mean zinc level was 17.00 and the standard error was 0.43. For a sample of 73 normal-birth-weight babies, the sample mean zinc level was 18.16 and the standard error was 0.32. Explain why the two standard errors are not the same.
3. Describe the consequences of estimating an equation by OLS in the presence of anendogenous regressor. How can you overcome these obstacles? Present an alternative estimator and state its properties.

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS