This website uses cookies to ensure you have the best experience. Learn more

Organization Of Data Essay

1126 words - 5 pages

Human beings are inquisitive creatures. Since the beginning of time, they have measured, categorized and attempted to understand the world around them. On a daily basis, you can hear these efforts on the evening news and read them in your favorite magazine. Furthermore, to meet this goal, scientist and intellectual explorers arm themselves with the science of statistics. Statistics are applied all in the name of learning something new, proving a point, or perhaps reluctantly admitting there is no connection between two phenomena. The concept of descriptive statistics, the application of descriptive statistics to my own study using a small data set, as well as an example of correlation will be examined.
Descriptive Statistics
For me, the best thing to do when overwhelmed by something is to organize it. In addition to the organization of data, it is desirable to share information about the data in a transparent and concise manner. According to Blessing and Forister (2013), when utilizing descriptive statistics to organize your data the “key concepts are measures of central tendency and measures of variability” (p. 194). These concepts are accomplished by using mean, median, mode, as well as, standard deviation, range and standard error. There value lies in the ability to give information about a set of data, without giving all of the data. There are various situations suited to the different elements of descriptive statistics and it is important to keep in mind the type of data you are using (ordinal, interval, ratio) when selecting the descriptive statistics for your study. In my research study regarding telehealth and 30 day readmission rates, descriptive statistics would be interesting to observe central tendencies for age of the patient at the time of readmission, type of cancer (liquid vs. solid tumors), and type of treatments (chemotherapy, radiation, surgery). Of course, with enough time and money, the variables you could study are endless.
Central Tendency
The mean is the sum of the scores divided by the total number of scores and “can only be calculated for interval or ratio variables” (Blessing & Forister, 2013). In my research study looking at the role of telehealth (teleconferencing) in influences 30 day readmission rates, the mean would be helpful to know when looking at the average numbers of days are from discharge to readmission. For example, the mean of the following data points (15, 18, 22, 22, 25 and 30) is 22 days. In this scenario, a researcher could use this information to fine tune the intervention, or make recommendations about future studies. Using the same data points, the median would be 22 since there are even numbers of scores. Of interest, the median is useful when studying the “skewness” of a curve (Grove, 2007, p. 139). Finally, the mode is also 22 because it is listed the most in my data set. In a normal distribution, the mean, median, and mode may be similar (or the same) as seen in my example.
Measures of...

Find Another Essay On Organization of Data

Assignment 4

1222 words - 5 pages What is Data Management Data management is the process of managing information through designs and policies of an organization (Rouse, M., 2010). Data managers have to make sure that their organization is in compliance with regulations at all times. Data management can be effective if the organization do the following: 1) Every individual is assigned his or her on responsibility, 2) Determine how the data will be stored and backed up, 3

OLAP, Data Mining, Warehousing, Data Marts

736 words - 3 pages certain products and when should a change of commodity be bought in the market.In some data warehouse implementations, a data mart is a miniature data warehouse; in others, it is just one segment of the data warehouse. Data marts are often used to provide information to functional segments of the organization. Typical examples are data marts for the sales department, the inventory and shipping department, the finance department, upper level


1348 words - 6 pages system diagram. Question 4. Difference of structured data and unstructured data. Structured data is usually managed by using Structured Query Language (SQL) which is a programming language. Besides, structured data is ready for seamless integration into a database or well structured file format such as XML. Structured data usually look to information with a high degree of organization which is smooth database

Outline of the Data protection act and it's implications within IT

2485 words - 10 pages ) organization, adaptation or alteration of the information or data, (b) retrieval, consultation, or use of the information or data. (c) disclosure of the information or data by transmission, dissemination or otherwise making available, or (d) alignment, combination, blocking, erasure or destruction of the information or data. Data Protection CommissionerNotification - all provisions apply independent of notification, but notification of registrable

Normalization and Integrity

1162 words - 5 pages Inconsistently storing organization data creates a lot of issues, a poor database design can cause security, integrity and normalization related issues. Majority of these issues are due to redundancy and weak data integrity and irregular storage, it is an ongoing challenge for every organization and it is important for organization and DBA to build logical, conceptual and efficient design for database. In today’s complex database systems

Project and Procurement Management Relationship

1003 words - 4 pages to minimize expenditures, in some instances by as much as 20%. To do this, the organization must have a better understanding of what they are purchasing and at what cost.One of the major underlying problems is centered upon the data the organization maintains. Every organization collects data about its environment in order to conduct business, either in the form or customer data or product data. Every organization maintains data on the products

What is a Data Mart?

2412 words - 10 pages with specific asthma medication, control status of disease, or even by initial asthma diagnosis date. (Symbiotic, 2013). Analysts can utilize data marts by running ad hoc queries through a reporting application deployed by your organization and even generate reports with retrieved pertinent records for disease tracking. (Halamka, 2010). The registry for asthma would include data elements or fields for clinical decision-making, below list are

case study

659 words - 3 pages , each occupation scope or undertaking that has been defeated your organization. • threat to Security and Confidentiality The life-blood of any business is the data that keeps it running. Provided that you have payroll, medicinal records or any viable secret data that will be transmitted to the outsourcing organization, there is a hazard that the privacy may be bargained. Assuming that the outsourced capacity includes offering restrictive

Application Architecture & Process Design

708 words - 3 pages A database is a collection of related information that is organized in a database management system where the data can be retrieved by organizations to aid them in making strategic business decisions. The information from these databases are organized and collected in ways to help an organization retrieve the needed data with ease. Data warehouse, data mart, three-tier architecture and active service pages (ASP) are data concepts that are used

Enterprise Data Management

1162 words - 5 pages more experimental approach to the methodology and is considered far more effective in completing the project. This type of newer approach can benefit the organization in the long run and leaves more room for more creative design. The next term, as it relates to enterprise data management, is Data Warehouse. A data warehouse is a large collection of logical data that has been stored from many other operational databases, for the purpose of data

Russom's (2006) article on the consequences of poor-quality data and the advantages of high-quality data

751 words - 3 pages Russom's (2006) article talks about the consequences of poor-quality data and the advantages of high-quality data. In your view, to what extent are the data-quality statistics in Figures 1 through 4 in the article consistent with your organization's data quality situation? Discuss at least two different ways that database management software like Microsoft® Access® can help an organization avoid or reduce data-quality problems mentioned

Similar Essays

Data Governance And Activities Table Essay

570 words - 3 pages Data governance is one of the disciplines that have evolving definition. It is the organizational bodies, decision rights, rules, and people’s accountabilities together with information system that perform data-related processes. Different organizations have different management structure depending on the specific need of their organization. Moreover, you should know set of activities in formal data governance plan. The table below shows these

Analysis And Research For A Data Warehouse System

992 words - 4 pages decades of data, which are read only, and added to but never updated. The data in the data warehouse is time sensitive - each row in the warehouse is time stamped so that trending of data versus time can be done. The kinds of queries that are run against data warehouses are difficult. These are decisions support databases that are used to make strategic decisions about the organization. Businesses have data warehouses in place to attain

Case Solution Essay

779 words - 3 pages communicating data standards ensuring data integrity is maintained during database conversions The logical design for the data warehouse. EXAMPLE Emerson customer records no longer have duplicated records, misspellings and fields with missing data. Q.How does effective data resource management contributes to the strategic goals of an organization? Provide examples from Emerson and others? Strategies are simply a set of actions that enable an

Data Quality Essay

2366 words - 9 pages is no way to distinguish between the two. 11.3. Categories and Dimensions of Data Quality Since before data was the most valuable asset of an organization and data was rarely shared. Now businesses, governments, and research organizations rely on the exchange and sharing of various forms of data. As there is an increase in interconnectivity among data producers and data consumers; interest in data quality increases steadily. The