7001ENG: Prefabrication Housing Production (PHP) - Statistical Methods - Engineering Assignment Help

Assignment Task:

Statistics practice and your research question

1. Using the MS Excel the data file available on the learning@griffith web site calculate the mean, standard deviation and linear correlation coefficient for the y values plotted against x. Submit the results as a plot and numerical data. Is the relationship linear? (explain your answer using words and equations)

Mean: 9.850793
Standard Deviation: 0.120888
R Square: 0.943780554

The mean value shows the average of all the numbers in the data set we used to calculate Sole thickness with respect to the number of steps taken.
The standard deviation here shows that 12% of data is dispersed around the mean value which is 9.85, if the standard deviation tends to be zero that means all values in the set are the same.

2. What statistical evidence was presented in your paper and do you think is strong enough to convince the general population of the result? If there is none, what statistical analysis do you suggest should have been included?

In the journal paper, there is no statistical analysis given. The work shown was started on the basis of a critical review, where 65 papers were taken from the published peer-reviewed journals from the years 2005 to 2017.

3. What statistical methods will you use in your planned research to convince the general population that the outcome of your research is reliable? (p < 0.05? z- score? correlation? 1D, 2D, 3D or nD statistics etc). You must explain what measurements you will make in your new research plan.

Why this assignment?

Aim:

To write an abstract which describes the important parts of your research plan, to review at least 4 important journal articles relevant to your research plan and to outline your new research plan. This must be based around extending the research outlined in the journal paper you have selected at the start of the course.

Automation in Construction

ABSTRACT

The decision-making system in Prefabrication Housing Production (PHP) lacks efficiency and collaboration because relevant information is stored and managed in heterogeneous systems of various stakeholders, who are commonly geographically isolated. Building Information Modeling (BIM) has advantages of combining its ob- ject-oriented attributes and the production-oriented characteristics of PHP to support decision-making and collaborative working for raising working efficiency.

 Introduction

The construction industry faces challenges such as low productivity, high construction safety risk, and poor environmental performance [1]. As reported by Bock and Linner [2], these problems are associated with the relatively slow adoption and integration of advanced information technologies and industrialization principles such as mechanization, automation, robotics, standardization, modularization, and informa- tion-driven construction. Prefabrication Housing Production (PHP), as an innovative solution in the construction industry, uses the principles of industrialization in the lifecycle of construction projects, including design, manufacturing, transportation, on-site assembly, maintenance, and deconstruction stages [3]. The benefits of PHP have been addressed in many studies.

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