Regression analysis and experimental design, Applied Statistics

Assignment Help:

For many decades, there has been considerable attention paid to identifying various factors that help to reduce the number of fatalities on Australian roads. In 1964 Victoria and South Australia made it a legal requirement to fit seat belts in newly manufactured cars, with this requirement coming into effect in Europe in 1965. In 1970, Victoria became the first in the world to make wearing seat belts compulsory for drivers and front-seat passengers.

With the worldwide introduction of front-seat passenger restraints in automobiles it is vitally important to ensure that the quality of craftsmanship of the restraints meets international standards.

To study the effectiveness of passenger restraint (seat-belt) systems, five popular brands were tested. To avoid any commercial confidentiality issues these brands have been randomly labelled system A, B, C, D, and E. For each system, a sample of five seat belts was randomly selected. The restraints were tested by measuring the forces at critical points on a test dummy when a vehicle was crashed into a barrier. The data

a) Given this data, test whether there is any evidence to suggest that there is a difference in the five systems in the event of a fatal injury occurring?

1894_Regression Analysis and Experimental Design.png

b) State any and all of the assumptions you have made in part a). Where appropriate perform any relevant tests with a level of significance of 0.05. From a practical point of view could an alternative level of significance be considered?

c) Using Tukey's procedure, analyse the nature of the treatment effects by making all pairwise comparisons among the treatment means. Are your findings here consistent with those obtained in part a)?

d) Suppose that a car manufacturer is near the end of a contract that specifies that they must install seat belt restraint A into newly made cars. Test whether the remaining restraint systems provide equivalent safety results when compared with system A. Since the car manufacturer is near the end of the contract with system A, given these findings, would the company risk passenger safety by installing an alternative seat belt restraint? What other factors might impact upon a company's decision to install another restraint system?


Related Discussions:- Regression analysis and experimental design

LINEAR PROGRAMMING FOR SOLVNG INEQUALITIES, To use Linear Programming for s...

To use Linear Programming for solving the following inequalities. Following Twin Conditions (as mandated by the Indian Regulatory Authority) Twin Condition I for TV Broadcasters

Statistical quality control assinment, how to get statistical quality contr...

how to get statistical quality control assignment in brief?

Residual, regression line drawn as Y=C+1075x, when x was 2, and y was 239, ...

regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual

Find the rank correlation coefficient, 1. Calculate the mean and mode of: ...

1. Calculate the mean and mode of: Central size 15 25 35 45 55 65 75 85 Frequencies 5 9 13 21 20 15 8 3 The following data shows the monthly expenditure of 80 students of

Regression analysis, Of the 6,325 kindergarten students who participated in...

Of the 6,325 kindergarten students who participated in the study, almost half or 3,052 were eligible for a free lunch program. The categorical variable sesk (1 == free lunch, 2 = n

Solve linear programming problem using the simplex method, Question: (a...

Question: (a) Shale Oil, located in the island of Aruba, has a capacity of 600,000 barrels of crude oil per day.  The final products from the refinery include two types of unle

Plot diagnostic quantities, The data in the data frame compensation are fro...

The data in the data frame compensation are from Myers (1990), Classical andModern Regression with Applications (Second Edition)," Duxbury. The response y here is executive compens

Confirmatory factor analysis, Confirmatory factor analysis (CFA) seeks to d...

Confirmatory factor analysis (CFA) seeks to determine whether the number of factors and the loadings of measured (indicator) variables on them conform to what is expected on the ba

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd