Data Collection and Quality Management Paper
Data is collected to learn the effectiveness of a particular tool in preventing defects or to look into the cause of a particular defect (Burrill, Ledolter, p.381 ¶1). Data removes the trepidation and uncertainty of an unknown element. For example, opinions vary from person to person and what one person thinks as good, there is another that thinks otherwise and yet another that may have a neutral opinion. One reason for collecting data is to gain an understanding of the data by organizing and graphing the individual values (Albert, Rossman, p.1 ¶2). Secondly, and most importantly, collecting data helps draw conclusions about a larger group of information (Albert, Rossman, p.1 ¶3).
There are other reasons to collect data. Data also helps people to understand the processes with which they work. Data can also be collected for the purpose of process control. Numerous manufacturing processes use feedback data to adjust an input, such as temperature, in order to keep the output at the desired level. Feedback data from quality control activities can be used to make adjustments that result in more products meeting their requirements (Burrill, Ledolter, p. 381, ¶ 1). Data can also be used to improve processes with the intent of increasing productivity.
For example, a delivery service makes a guarantee that all domestic packages will be delivered within 24 hours. What happens when a package is delivered in 25 hours or later? Will the delivery service make amends by waiving the delivery fee, or did the delivery company make a reasonable guarantee? The data gathered for this delivery company will determine the variables associated with each delivery and paint a clearer picture on whether the time interval for delivery is enough to continue with the 48-hour delivery guarantee policy. What the delivery company can do is to measure the distribution of all times it will take to deliver a package within a year. These times cannot be measured, however and there is no way to predict how long it will take to deliver a package in 3 months. What the delivery company can do is measure the time it takes to deliver a package for 10-15 deliveries during the past week, graphing and summarizing the time measurements, or data, collected. The information can be extrapolated with known variables, such as delivery times within the past day or week, and help understand the larger group of deliveries within the next year.
Furthermore, the methods applied convey “the techniques or procedures used to gather and analyze data that is
...data. After studying the article and assessing the many degrees the author’s possess, they are more than capable of accurately analyzing and correlating the results consistently.
Statistics enables us to organize and arrange a basket of data, to link up their relationships by using calculation and diagrams, to analyze the results, finally evaluate errors, generate conclusion from small group to large group. You can prove what you want by statistics, but it really sometimes lies by tricky stratified sampling, distorted graphs and dimness figures.
The data gave me insight into my research question because I got information from the
It helps them measure changes, whether they’re changing raw material or equipment. E.g. if they’re purchasing new equipment, it helps them look at the before and after picture. Consequently, enabling them to look at return on investment opportunity.
Four sites were sampled from the Priest River Experimental Forest in Idaho. Sample plot locations were specifically chosen to compare different areas. At each site, each group used a GPS to navigate to a specific destination for further observational studies. The elevation in meters was then recorded from the GPS. The range of the observational study was made within a circular plot with a radius of 18 meters and approximately 0.1 hectares. Two meter tapes were set perpendicular to one another so that the diameter of the circular plot extended to 36 meters. Within these plots, all trees that are over 10 cm in diameter are identified and measured. Calipers and DBH tapes were used to measure these diameters. A BAF 10 prism
The topics featured in Gandy’s article focuses on the notion of “racially coded data” (1) and how the data is translated into information that may or may not be put to the greatest use. Meaning that targeting certain races with a number of issues with the intention of aiding them, May actually cause more harm than help. He tries to argues that “racial statistics have not only come to represent the distribution of life chances in ways that continue to place African Americans down the bottom of the pile” (5) and then follows on by illustrating “some of the ways in which many of the same statistics are used to ensure that their status is less likely to improve” (5). He mentions this idea of a ‘racial disparity’ focusing on African Americans alone discussing racial coding as and what he calls the ‘panoptic sort’ have become ‘discriminatory technology and then states that how it “operates to the detriment of segments of the population” (7).
Firstly, data visualization allows people who are suffering from information overload to understand various contexts visually and relatively.
8.) Data - means facts or information. People use data as a basis for drawing conclusions about the topic or theme they are studying.
It is very difficult to say what data quality means. The word quality itself has different meanings for different people. Even for an individual the word may has a different meaning regarding the circumstances. I will use an example to try to make it clearer. If we ask three people to tell us which car they believe is a quality purchase, we will get three or even more different opinions. Some people will say that acceleration matters, others will say security. Some would prefer an environment friendly car, others a low price one. This is the reason why there is not a universally agreement of what data quality means, so quite few definitions exist. In my opinion Joseph Moses Juran’s definition is the most representative and summarizes the most of the existing definitions. According to Joseph Moses Juran “Data are of high quality if they are fit to their intended uses in operations, decision making and planning” [1].
However on the other hand, for all advantages; there are disadvantages. In some instances when people utilize and manipulate data, they may knowingly falsify data so that it may adhere to ones beliefs or theories. In addition there are people who may deliberately tamper with information as well. When collecting information, there must be neutrality when assessing and collecting data. In addition, professional competence and integrity must be superior and finally, all research subjects or respondents must be safeguarded from potential harm and sabotage.
The process of data collection consisted of four stages. First, to gather data about An...
Data Collection and Analysis Questionnaire The research was carried out on both quantitative and qualitative approaches. It began with a quantitative approach—questionnaire. Bryman and Bell (2003) asserted that mail or postal questionnaires are the most popular forms of questionnaires. Another form—self-completion questionnaire—was also common because of the overlap with postal questionnaire to some extent.
Supporting inspiration with data - making extensive, aggressive use of data and testing to support ideas according to a Harvard case study people aren't allowed to say 'I think' but instead must say 'The data suggest...'
Quantitative and qualitative data are the two huge types of statistical data.We can make use of choosing both methods one after another, economic or time moderation may not accept us to opt for both. In such situation, comparison between the both can help in making choice.