...words the statistical analyses within the article. o Does the article incorporate graphs or tables that facilitate understanding of the data? o Are the descriptive statistical analyses appropriate for the subject? What descriptive statistics were used in the study? o Identify the inferential statistics used and comment if the analyses supported the research problem/hypothesis. (For example, do they support the conclusions reached by the author or authors? Are the statistics misleading or biased?). • The paper is 700 to 1,050 words in length. BSHS 435 WEEK 4 STATISTICAL ANALYSES • Student selected a peer reviewed article from the library related to human services and statistical analysis. • Student discussed statistical analyses, including the following information: • Summarize in 100 to 150 words what the research study discussed in the article is about. (Provide a complete citation for the article using proper APA format.) • Discuss in 250 to 400 words the statistical analyses within the article. o Does the article incorporate graphs or tables that facilitate understanding of the data? o Are the descriptive statistical analyses appropriate for the subject? What descriptive statistics were used in the study? o Identify the inferential statistics used...
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...ANALYSES • Student selected a peer reviewed article from the library related to human services and statistical analysis. • Student discussed statistical analyses, including the following information: • Summarize in 100 to 150 words what the research study discussed in the article is about. (Provide a complete citation for the article using proper APA format.) • Discuss in 250 to 400 words the statistical analyses within the article. o Does the article incorporate graphs or tables that facilitate understanding of the data? o Are the descriptive statistical analyses appropriate for the subject? What descriptive statistics were used in the study? o Identify the inferential statistics used and comment if the analyses supported the research problem/hypothesis. (For example, do they support the conclusions reached by the author or authors? Are the statistics misleading or biased?). • The paper is 700 to 1,050 words in length. BSHS 435 WEEK 4 STATISTICAL ANALYSES To purchase this visit here: http://mindsblow.us/question_des/BSHS435WEEK4STATISTICALANALYSES/2786 Contact us at: help@mindblows.us BSHS 435 WEEK 4 STATISTICAL ANALYSES • Student selected a peer reviewed article from the library related to human services and statistical analysis. • Student discussed statistical analyses, including the following information: • Summarize in 100 to 150 words what the research study discussed in the article is about. (Provide a complete citation for the article using proper APA...
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...number of possible ways in which unethical behavior can arise in statistics and researchers should steer clear of these. It is relatively simple to manipulate and hide data, projecting only what one desires and not what the numbers actually speak, thus giving birth to the famous phrase "Lies, damned lies and statistics". However, this doesn't happen all the time and there is no reason not to believe in the conclusions of a statistical analysis. Ethics in statistics is not straightforward and can be quite complex at times. It also greatly depends on what kind of statistical analysis is being done. Unethical behavior might arise at any point - from data collection to data interpretation. For example, data collection can be made inherently biased by posing the wrong questions that stimulate strong emotions rather than objective realities. This happens all the time when the survey is aimed to try and prove a viewpoint rather than find out the truth. Other unethical behaviors might include scientists not including data outliers in their report and analysis to validate their theory or viewpoint. This happens both in pure and social sciences. By obscuring data or taking only the data points that reinforce a particular theory, scientists are indulging in unethical behavior. Ethics in statistics are very important during data representation as well. Numbers don't lie but their interpretation and representation can be misleading. For example, after a broad survey of many customers, a company...
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...lie with statistics?” The purpose of graph and survey is to show how a group responds. There are many different types of graph a person can use to interpret data. There are many different types of graph used in the world. Some of these graphs are pie graph, line graph, bar graph and ETC. There are misleading graphs that give false information or a distorted map. These types of graph misrepresent data as a whole. Some graphs may be misleading in which there is incorrect information in the way it is represented, also the samples that have been taken. Graphs can be subject to different interpretations from the reader or viewer. Misleading graphs may be used in false advertising. Accurate information taken from a scientific view point can illustrate a proper graph which may be correct and valid. When we talk about a survey, a survey is concerned about a person’s opinion. It does not show valid information about the subject or the topic. Graphs that misrepresent data are truncated graphs, pie charts, bar graphs and line graphs. The data collected has to be correct and reliable for the graph to be valid. Some graphs have improper intervals or units used in the graph that may be manipulated to create an image or a variable that is correct. It may not provide the accurate information about the study or corporation. Graphs sometimes use improper extraction of information about statistics. There is another example of a newer graph, which is a 3-D image of numbers and statistic. The problem...
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...5 DQ 2 Statistics is required at each stage of research beginning from planning to the end, in order to advance scientifically significance and to acquire dependable results. The use of inappropriate statistical method, technique and the analysis basis time and cost lost and most prominently thinking in the way of scientific ethics, it provides destruction to science and humanity. Even if the study is sensibly scheduled to conduct as a result of application with errors, the misrepresentative results might be attained. That leads other errors who proceeds as reference to those studies.[Ercan, 2007]. Some Examples of Misleading Statistics This is not the similar thing as saying that all women are better drivers than men, though many people, by the look of some insurance company advertisements, look to think that is exactly what it means. In fact it simply shows that, on average, a woman between the ages of 20 and 65 who drives a car will have had fewer accidents than a man of the same age, driving the same car. The data is drawn almost exclusively from insurance company statistics. It may not, however, be accurate, as few people bother to alert insures if they clip the mirror or scratch the paint. Here is another example of distorting statistics: Toddlers Who Attend Pre-school Exhibit Aggressive Behavior: A study was conducted on four-year-olds, comparing those who went to preschool and socialized with other children, with those that stayed at home with their mothers. It measured...
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...Motion Picture Industry November 24, 2013 Traci Wells MTH 410 Marilyn Simon Motion Picture Industry Creating a major motion picture to release to the masses can be a difficult task for any movie maker. Certain methods can be used to support and reassure the movie makers will have a return on their investments. The most effective method is the use of descriptive statistics, including the average, median, mode, range, and deviation of Opening Weekend Gross Sales (OWGS), Total Gross Sales (TGS), Number of Theatres (NOT), and Weeks in Top 60 (WIT60). Using a sample of 100 movies from 2005 it was found that all four variables were closely tied to determining a movies success. Using the date, the OWGS can help movie makes anticipate how much money a movie will make over its entire time in theatres. While this method isn’t always accurate, using the data from the 100 movies we see that the movie that had the best OWGS (Star Wars: Episode III) also had the most TGS, even though it wasn’t in the most NOT’s nor did it have the most WIT60. However, the NOT’s and WIT60 are also a factor. In the table below we can see the correlation between these factors. Star Wars: Episode III should be considered a high performance outlier due to its substantial TGS over all other movies regardless of the NOT and WIT60. Motion Picture | Opening Gross Sales | Total Gross Sales | Number of Theaters | Weeks in Top 60 | Star Wars: Episode III | 108.44 | 380.18 | 3,663 | 19 | Harry Potter...
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...Write a brief paper on Statistics and Operations Research in the context of Analytics. Analytics is defined as the scientific process of transforming data into insight for making better decisions. It is the combination of skills, technologies, applications and processes used by data scientist to gain insight in to their business based on data and statistics to drive business planning. It typically use’s data, statistical and quantitative analysis to measure the performance of the subject (Organization/ website etc.) on which a study is to be conducted. Analytics can be used in various fields such as market research, for studying user web pattern behavior & in many other applications to derive some meaningful information out of the complex world around us. But we will first touch upon the area of operations research & how Analytics with the help of various statistical tools can help to solve the operation related problem in an organization. Operations research overlaps with other disciplines, such as industrial engineering and operations management. It is often concerned with determining an optimal solution out of a business problem. It may either to maximize your profit, performance, or yield or minimize your losses, risk, or cost. In the fields of production, logistics, or sales where managers are facing a problems so as how to allocate resources, develop production schedules, manage the supply chain, and set prices. For example, it many help to decide how to organize...
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...Statistics is the study of the collection, organization, analysis, interpretation and presentation of data.[1][2] It deals with all aspects of data, including the planning of data collection in terms of the design of surveys and experiments.[1] The word statistics, when referring to the scientific discipline, is singular, as in "Statistics is an art."[3] This should not be confused with the word statistic, referring to a quantity (such as mean or median) calculated from a set of data,[4] whose plural is statistics ("this statistic seems wrong" or "these statistics are misleading"). Some consider statistics a mathematical body of science that pertains to the collection, analysis, interpretation or explanation, and presentation of data,[5] while others consider it a branch of mathematics[6] concerned with collecting and interpreting data. Because of its empirical roots and its focus on applications, statistics is usually considered a distinct mathematical science rather than a branch of mathematics.[7][8] Much of statistics is non-mathematical: ensuring that data collection is undertaken in a way that produces valid conclusions; coding and archiving data so that information is retained and made useful for international comparisons of official statistics; reporting of results and summarised data (tables and graphs) in ways comprehensible to those who must use them; implementing procedures that ensure the privacy of census information. Statisticians improve data quality by developing...
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...and statistics are two related but separate academic disciplines. Statistical analysis often uses probability distributions, and the two topics are often studied together. However, probability theory contains much that is of mostly of mathematical interest and not directly relevant to statistics. Moreover, many topics in statistics are independent of probability theory. Probability (or likelihood) is a measure or estimation of how likely it is that something will happen or that a statement is true. Probabilities are given a value between 0 (0% chance or will not happen) and 1 (100% chance or will happen). The higher the degree of probability, the more likely the event is to happen, or, in a longer series of samples, the greater the number of times such event is expected to happen. These concepts have been given an axiomatic mathematical derivation in probability theory (see probability axioms), which is used widely in such areas of study as mathematics, statistics, finance, gambling, science, artificial intelligence/machine learning and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe the underlying mechanics and regularities of complex systems. Statistics is the study of the collection, organization, analysis, interpretation and presentation of data. It deals with all aspects of data, including the planning of data collection in terms of the design of surveys and experiments. The word statistics, when...
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...|Individual Fundamentals of |Write a 700- to 1,050-word paper describing the scientific method and the fundamentals of |Mon, 11/18/2013 |10 | |Research Paper |research. Address each of the following in your paper: |11:59 PM MST | | | | | | | | |Define the scientific method. How does it relate to human services research? | | | | | | | | | |What are the steps in the process of scientific inquiry? Why must each of these steps be | | | | |included to support the scientific method? Provide a human services research example of the | | | | |scientific method and identify each step within your example. | | | | | | | | | |Define quantitative research...
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...more effective decision. A collection of numerical information is called statistics. Statistical Data: According to Horace Secrist “By statistics we mean aggregate of facts affected to a marked extent by multiplicity of causes, numerically expressed, enumerated or estimated according to reasonable standard of accuracy, collected in a systematic manner for a pre-determined purpose and placed in relation to each other”. Features of This Definition Are: * Statistics are aggregate of facts. * Statistics are affected to a marked extent by multiplicity of causes. * Statistics are numerically expressed. * Statistics are enumerated or estimated according to reasonable standard of accuracy. * Statistics are collected in a systematic manner. * Statistics are for a pre-determined purpose. * Statistics should be placed in relation to each other. Functions of Statistics: * It presents facts in definite forms. * It simplifies mass of figures. * It facilitates comparison. * It helps in formulating and testing hypothesis. * It helps in prediction and * It helps in the formulation of suitable policies. Limitations of Statistics: * It does not deal with isolated measurements. * It deals only with quantitative characteristics. * Its results are true only on average. * It is only a means. * It can be misused. * Graphs can be misleading (scale). * Association does not necessarily imply causation (addiction...
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...through data. Through decades of academic research, investors and businesses have settled on standardized norms or patterns for various types of calculations, using standard deviations. Data sets, like mean or median, are manipulated to make an inference. This abstract will highlight five articles where the SD is assimilated in mixt conditions or settings. Each article will classify the purpose, any research questions, hypothesis, and the main findings. What to Use to Express the Variability of Data: Standard Deviation or Standard Error of Mean? Statistics is a major element in any industry, failing to provide adequate information to the reader can easily mislead the receivers. Therefore, using the correct highlights to display the variability of data, can minimize error and clarify any study. According to Barde (2012), “It is depressing to find how much good biological work is in danger of being wasted through incompetent and misleading analysis” (p. 113). Case in point, this experiment was based on the hypothesis that applying a biomedical research data with Standard Deviation (SD) is more effective than presenting data with Standard Deviation of Mean (SEM). Standard Deviation is used “interchangeably to express the variability; though they measure different parameters. SEM quantifies uncertainty in the estimate of the mean whereas SD indicates a dispersion of the data from mean” (Barde, 2012). The researchers...
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...of surveys and experiments.[1] The word statistics, when referring to the scientific discipline, is singular, as in "Statistics is an art."[3] This should not be confused with the word statistic, referring to a quantity (such as mean ormedian) calculated from a set of data,[4] whose plural is statistics ("this statistic seems wrong" or "these statistics are misleading"). More probability density is found the closer one gets to the expected (mean) value in a normal distribution. Statistics used in standardized testing assessment are shown. The scales include standard deviations, cumulative percentages, percentile equivalents, Z-scores, T-scores, standard nines, and percentages in standard nines. Contents [hide] * 1 Scope * 2 History * 3 Overview * 4 Statistical methods * 4.1 Experimental and observational studies * 4.2 Levels of measurement * 4.3 Key terms used in statistics * 4.4 Examples * 5 Specialized disciplines * 6 Statistical computing * 7 Misuse * 8 Statistics applied to mathematics or the arts * 9 See also * 10 References | ------------------------------------------------- Scope[edit] Some consider statistics a mathematical body of science that pertains to the collection, analysis, interpretation or explanation, and presentation of data,[5] while others consider it a branch ofmathematics[6] concerned with collecting and interpreting data. Because of its empirical roots and its focus on applications, statistics is usually considered a distinct...
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...Preamble and II. Ethical Guidelines. The Preamble addresses A. Purpose of the Guidelines, B. Statistics and Society, and C. Shared Values. The purpose of the document is to encourage ethical and effective statistical work in morally conducive working environments. It is also intended to assist students in learning to perform statistical work responsibly. Statistics plays a vital role in many aspects of science, the economy, governance, and even entertainment. It is important that all statistical practitioners recognize their potential impact on the broader society and the attendant ethical obligations to perform their work responsibly. Furthermore, practitioners are encouraged to exercise "good professional citizenship" in order to improve the public climate for, understanding of, and respect for the use of statistics throughout its range of applications. The Ethical Guidelines address eight general topic areas and specify important ethical considerations under each topic. A. Professionalism points out the need for competence, judgment, diligence, self-respect, and worthiness of the respect of other people. B. Responsibilities to Funders, Clients, and Employers discusses the practitioner's responsibility for assuring that statistical work is suitable to the needs and resources of those who are paying for it, that funders understand the capabilities and limitations of statistics in addressing their problem, and that the funder's confidential information is protected. C...
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...from the communications conglomerate Verizon Communications (VC), Berkshire Hathaway Inc. (BRK-A) the multinational holding company best known its chairman Warren Buffet, and Wyndham Worldwide Corporation (WYN) one of the world’s largest hotel and resort chains. After comparing relevant statistical factors to each other a regression analysis will be done for each company comparing the excess market returns for each company (found by subtracting out the market free rate) to the market excess return. Table 1: Stock Return Statistics | Average Price/Share | Mean Return | Largest Gain | Largest Loss | Standard Deviation | Coefficient of Variation | VZ | $34.73 | 1.43% | 12.58% | -10.07% | 4.83% | 338.98% | WYN | $38.623 | 6.50% | 178.13% | -16.46% | 23.74% | 365.44% | BRK-A | $128,891.78 | 1.39% | 11.52% | -8.16% | 4.61% | 330.58% | Data was acquired from the stock price and returns for 60 months beginning Mar 2009 Stock price can be a misleading benchmark for similarities between stocks. In Table 1 shown above, Berkshire Hathaway costs over 3,500 times more than...
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