Present an example of the application of the data analysis process in civil engineering. You may search Google Scholar (or any other credible website) for some papers or design experiments which show how statistics is applied in understanding a civil engineering problem. Compare the process done in the said paper/design experiment to the data analysis process discussed in Topic 1.3. 11:04 u a 3.00A @ (12KB/S1.3 Data Analysis Processresulting limitations are alsoo fullyunderstood. If new data are to becollected, a careful plan must bedeveloped, because the type of analysisthat is appropriate and the conclusionsthat can be drawn depend on how thedata are collected.4. Data summarization and preliminaryanalysis. After the data are collected, thenext step is usually a preliminary analysisthat includes summarizing the datagraphically and numerically. This initialanalysis provides insight into importantcharacteristics of the data and providesguidance in selecting appropriatemethods for further analysis.5. Formal data analysis. The data analysisstep requires the researcher to selectappropriate statistical methods.6. Interpretation of results. Theinterpretation step often leads to theformulation of new research questions.These new questions lead back to the firststep. In this way, good data analysis isoften an iterative process.It is also important to know the differencebetween a sample and a population A.Module 1: Introduction to Statistics &Data Analysis 11:04 u 62.0A @ (12KB/S1.3 Data Analysis ProcessIn order to understand the ideas behind data,statistics and data analysis must be performed.The data analysis process goes as follows(Peck et.al., 2019):1. Understanding the nature of the problem.Effective data analysis requires anunderstanding of the research problem.We must know the goal of the researchand what questions we hope to answer. Itis important to have a clear directionbefore gathering data to ensure that wewill be able to answer the questions ofinterest using the data collected.2. Deciding what to measure and how tomeasure it. The next step in the processis deciding what information is needed toanswer the questions of interest. In somecases, the choice is obvious.3. Data collection. The data collection stepis very important. The researcher mustfırst decide whether an existing datasource is adequate or whether new datamust be collected. If a decision is made touse existing data, it is important tounderstand how the data were collectedand for what purpose, so that anyresultina limitations are also fullyModule 1: Introduction to Statistics &Data Analysis

Question

Present an example of the application of the data analysis process in civil engineering. You may search Google Scholar (or any other credible website) for some papers or design experiments which show how statistics is applied in understanding a civil engineering problem. Compare the process done in the said paper/design experiment to the data analysis process discussed in Topic 1.3. 11:04 u a 3.00A @ (12KB/S1.3 Data Analysis Processresulting limitations are alsoo fullyunderstood. If new data are to becollected, a careful plan must bedeveloped, because the type of analysisthat is appropriate and the conclusionsthat can be drawn depend on how thedata are collected.4. Data summarization and preliminaryanalysis. After the data are collected, thenext step is usually a preliminary analysisthat includes summarizing the datagraphically and numerically. This initialanalysis provides insight into importantcharacteristics of the data and providesguidance in selecting appropriatemethods for further analysis.5. Formal data analysis. The data analysisstep requires the researcher to selectappropriate statistical methods.6. Interpretation of results. Theinterpretation step often leads to theformulation of new research questions.These new questions lead back to the firststep. In this way, good data analysis isoften an iterative process.It is also important to know the differencebetween a sample and a population A.Module 1: Introduction to Statistics &>Data Analysis 11:04 u 62.0A @ (12KB/S1.3 Data Analysis ProcessIn order to understand the ideas behind data,statistics and data analysis must be performed.The data analysis process goes as follows(Peck et.al., 2019):1. Understanding the nature of the problem.Effective data analysis requires anunderstanding of the research problem.We must know the goal of the researchand what questions we hope to answer. Itis important to have a clear directionbefore gathering data to ensure that wewill be able to answer the questions ofinterest using the data collected.2. Deciding what to measure and how tomeasure it. The next step in the processis deciding what information is needed toanswer the questions of interest. In somecases, the choice is obvious.3. Data collection. The data collection stepis very important. The researcher mustfırst decide whether an existing datasource is adequate or whether new datamust be collected. If a decision is made touse existing data, it is important tounderstand how the data were collectedand for what purpose, so that anyresultina limitations are also fullyModule 1: Introduction to Statistics &<>Data Analysis

Accepted Answer

Statistics  is a science that assists us with simply deciding and make inferences within the sight…