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.
...eated. Therefore making the data more reliable and able to differentiate greatly between the two. These terms/vocabulary are the most important thing to help understand the project.
After this analysis of the data is done to sort out those subjective and the objective data,
The mean of witch the authors went about on collecting data is sort of like field research. For an example, they would go into areas with the most problems in the chosen community. Instead of offering to help and solve the p...
The data gave me insight into my research question because I got information from the
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).
Provide at least three examples or problem situations in which statistics was used or could be used.
Klosterman, Chuck. "Can Data Be Evil?" New York Times Magazine 5 Jan. 2014: 14. Academic OneFile. Web. 7 May 2014.
...ferred because it produces meaningful information about each data point and where it falls within its normal distribution, plus provides a crude indicator of outliers. (Ben Etzkorn 2011).
8.) Data - means facts or information. People use data as a basis for drawing conclusions about the topic or theme they are studying.
Another advantage is providing feedback to employees on their work performance. Instead of listening to a manager tell an employee how to do a job, one may review a tape to see exactly what they are doing wrong and judge the employees performance. In this case, monitoring is used as a tool to show employees their work habits and what they need to change to improve their performance. Employees generally like this because they can see for themselves their weak and strong points, and they can use the information to improve their work methods. This knowledge can increase employee performance and efficiency.
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.
You begin by choosing in the data, interpret it into your own terms, clarify it to yourself, and then draw conclusions. It is not safe, because it all happens extremely quickly in your head, and you're probably not aware that you are just selecting a few of the data. Nobody else sees your thought processes, or knows what stages you've gone through to reach your conclusions. All of the data see is the action. It can help me to comprehend how and why I believe as I do about an issue.
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...'
problem, formation of hypothesis, data collections by observing and experimenting. At all stages of the
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.