Abstract
This document discusses a series of descriptive statistics questions. These range from the four types of errors related to measurement as well as response and non-response related errors. Finally, the paper makes several statistical calculations in order to establish the efficacy and practicality of descriptive statistics. Specifically, these problems rectify issues of accuracy and estimation.

From the Paper
"The four major sources of measurement error are respondent, situation, measurer, and instrument. Respondent errors might occur through respondent misinterpretation of a given question or, in the case of a written survey or questionnaire, actual response error (Lomax, 2001, pp.29-31). A situational error would occur when, for example, a political survey for a given district was being taken in another district. Measurer originated errors can occur in several ways from construction and design of the actual study to poor selection of participants as well as misinterpretation of study results or actual errors in compilation of results. Instrument, such as surveys or questionnaires, often occur because they question or respond to something other than what is being tested or researched. "

Tags:statistics, descriptive, research

Abstract
The paper provides a brief overview of descriptive and inferential statistics and shows how these two types of statistics clearly serve different functions, with the former (descriptive statistics) describing things as they are whilst the latter (inferential statistics) describe things as they may prove to be. The paper eschews examples of either type of statistic in operation.

From the Paper
"The following paper provides a brief overview of descriptive and inferential statistics. These two types of statistics clearly serve different functions, with the former (descriptive statistics) describing things as they are whilst the latter (inferential statistics) describe things as they may prove to be. Descriptive statistics are best defined as statistics which define a phenomenon as it presently exists: it consists of percentages, averages,..."

Tags:descriptive, inferential, definition

Abstract
This paper compares and contrasts inferential and descriptive nursing statistics. The paper explains that inferential "infers' information about a larger data set, from the information within a smaller dataset, and a large sampling size is very helpful to project accurately.

From the Paper
"A statistic is any number that describes a group of objects. There are two main categories of statistics, descriptive and inferential. In simplest terms descriptive statistics merely describe the group they belong to. On the other hand inferential statistics are used to extrapolate conclusions about a larger group of information from a subset of data. Descriptive statistics: Descriptive statistics are used because in most cases, it is not possible or efficient to present all data such that a reader could quickly interpret it. The following are two examples of descriptive statistics:..."

Tags:nursing, statistics, inferential, descriptive

Abstract
This example of descriptive writing highlights the author's perceptions of a woman in a grocery store. The essay's narrator describes her late night trip to the grocery store and a young mother she encounters there. The author speculates on the young mother's situation and her character, comparing it to how she raised her own children. The narrator concludes by seeing the commonalities in the young mother's situation and her own, despite the differences in their stages of life.

From the Paper
"Her voice was rich, surprisingly rich, and husky, but it sounded tired, too, like the troubles of the world weighed it down. She pushed away a strand of hair again and reached into her bag for her wallet. She looked at the cart, glanced at the contents of the wallet, and shrugged to herself. I so wanted to hand her a twenty and tell her to buy the roast and the ground beef, but I knew in my heart she would never take a handout from a stranger. She probably wouldn't even take one from her own family. It was clear she was proud and struggling as she gathered her brood together and headed for the check stands."

Tags:creative, writing, descriptive, writing, motherhood, children, aging, parenting

Abstract
This paper takes a look at the method of descriptive analysis and assessment. According to the paper, descriptive analysis can provide useful solutions in terms of individual behavior analysis and observation. There are various descriptive analysis techniques, which this paper reviews and discusses.

From the Paper
"As such, related to observance and the difficulties that occur in such situations, Kazdin brings into question and discusses the nature of the observation, in terms of realism, accuracy and convention ((Kazdin, 1977)). Indeed, descriptive analysis relies on one of the essential tools: observation. If we look at the descriptive assessment as an evaluation of the "how", observing and recording how this "how" will determine the eventual outcome of the analysis. The problem that Kazdin is debating is the existence of a multiple number of observers and, more importantly, the complexity deriving from having different observations and from checking their reliability. The accuracy of the observation is one of the main issues to be discussed when referring to the challenges and implementation of descriptive analysis. "

Tags:Baer, Kazdin, observations, observers, environment

Abstract
This paper assesses the writing techniques that are found in the short descriptive essays of "Po- Po" by Eric Liu, "Caught in the Widow's Web" by Gordon Grice, "Nameless, Tennessee" by William Least Heat Moon, and "The Inheritance of Tools" by Scott Russell Sanders. Through describing these techniques, the reader is made aware of the variety of literary devices that are used to form a cohesive story. An emphasis on characterization - or the techniques that the authors use to convey the natures of their characters - is the descriptive technique that is investigated in this paper.

Abstract
The paper outlines descriptive statistics and relates that the description of the sample population are as follows-240 women, [Group A] 121 participated in the intervention-[Group B] 64 in the agency based home care program and [Group C] 55 in with no home care. The paper then outlines the inferential statistics and where they came from.

From the Paper
"The description of the sample population are as follows--240 women, [Group A] 121 participated in the intervention--[Group B] 64 in the agency based hoe care program and [Group C] 55 in with no home care. Inferential Statistics: Surgeons agreed to no order home care for Group A. There was no significant difference in demographics. Demographics were assessed, surgical recovery and self-care knowledge was measured, utilization of health services was measured through a telephone interview."

Tags:article, review, summary

Abstract
This paper demonstrates the measurement of central tendency, dispersion, skewing of data and frequencies to investigate if a team that pays higher salaries is more likely to win. Based on these descriptive statistics, the author observes that several teams in major league baseball are paid less, yet have the same amount of wins as the higher paid teams. The paper concludes that higher salaries do not affect winning. The paper includes a histogram but does not include the source data or calculations.

Table of Contents:
The Process
Central Tendency, Dispersion, and Skewing For Data
Frequencies for Wins and Salaries
Histogram
Conclusion of Research
Conclusion

From the Paper
"To calculate the central tendency of the data the mean is a significant measure. Finding the average revenue for 30 teams requires calculating the smallest sum to the largest sum. After finding the sum dividing by the amount of teams in baseball, which is 30 will provide the mean. Each sample item will affect the mean or the balancing point of the fulcrum. The averages above and below the mean will help in determining the team revenue and the availability of revenue to offer top salaries to the superior players in the league."

Tags:decision-making, average, dispersion, frequency, impact

Abstract
The paper describes the sample population and the type of sample selection used to research the prevalence of video game addiction. The paper also explains the use of survey methods as well as why the survey method best suits the needs of the team. Furthermore, the paper speculates on the expected outcome of the study, which seeks to develop the prevalence of video game addiction in persons of every age.

Outline:
The Sample Population
The Survey Method
Why Team C Choose the Survey Method
Speculated Outcomes
Conclusion

From the Paper
"When researchers need a reason motivating people to choose a certain path, asking questions provides some of the answers. Video gamers' who reach consideration for addiction by others possess different meanings on why they put in huge amounts of time toward playing video games. For this reason, the survey method comes in handy. It allows the researchers to convey information to the audience not necessarily under the video game addiction category, so they can have a better connection and understanding on why the lives of video game addicts mainly surround themselves with video games. Taking a certain population group and distributing a survey that pinpoints their values, lifestyle, interests, and perspectives on why the gamer is or is not in the category of video game addiction answers quantitative and qualitative questions for the researchers. The "survey research involves selecting a sample (or samples) and using a predetermined set of questions" (Shaughnessy, Zechmeister, & Zechmeister, 2009, p. 138). The method explains the calculations of the group on whether it is a serious issue or if it is a stereotype. Media is not the main solution for video game addiction, other issues involving family, loneliness, or just using it as a hobby also focuses on why people become video addicts. The survey method takes a mature approach on how best to communicate with people assumed to act in such a misunderstood behavior."

Tags:sample, population, quantitative, qualitative, information

From the Paper
"In the 19th and early 20th centuries, linguists were concerned primarily with codifying languages as they were spoken and/or written--they limited themselves to what we today call "descriptive" linguistics, or the study of words and sentences that have been produced by native speakers of a given language. Since the 1950s, however, beginning with MIT scholar Noam Chomsky, linguists have largely focussed their attention on trying to discover the range of words and sentences that could be produced by native speakers. This latter approach is referred to as "generative" linguistics; its goal is to account for words and sentences which do exist and, in addition, for all words and sentences which do not, but are grammatically possible. This paper will further explore and explain the differences between these two approaches to the study of language."