Doing Statistical Analysis Excel provides a large number of statistical functions. These and the tools in the Analysis ToolPak cover most types of statistical analysis that you would need to do in finance and include in your models. Many people look at functions as "black boxes." You input the arguments‚ and the functions provide the answers. In a way this view is true‚ but it is also dangerous - you may use a function or tool incorrectly or misinterpret the results. So take the time to know
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important to think‚ first about the topic and then what you want to say about the topic. Most often‚ the topic is easy‚ but the question then turns to what you want to say about the topic which is the controlling idea. Topic sentences should always contain both (1) a topic and (2) a controlling idea. Read the following topic sentences. They all contain a topic (in red) and a controlling idea (in green). When your introduction contains a clearly stated topic sentence such as one of the following
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Bloomberg is making the argument through pathos that Trump isn’t a good businessman. One particular instance Bloomberg makes this argument‚ is when he alludes Trump took advantage of his family’s financial situation to empower him him to build a business empire‚ “with a $1 million check from [his] father.” Here‚ Bloomberg illustrates pathos through feelings of disdain. He argues‚ that Trump has a sense of entitlement towards being successful‚ and takes the easy way out by taking advantage of his
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Gender Discrimination: A Statistical Analysis Gender discrimination‚ or sex discrimination‚ may be characterized as the unequal treatment of a person based solely on that person ’s sex. . It is apparent that gender discrimination is pervasive in the modern workplace‚ however‚ its presence and effects are often misrepresented and misunderstood. Statistical testing plays an important role in cases where the existence of discrimination is a disputed issue and has been used extensively to compare expected
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“Statistical Treatment” Communication Reasearch 1 S.Y. 2013- 2014 T.F 7:00am – 8:30am MCS June 21‚ 2013 ILARIA L. PANDOLFI PROFESSOR ROSALIE CERVANTES I. Objectives: The learners are expected to: a. Determine what statistical treatment is all about. b. Choose their own right statistics in analysing their data. c. Follow the steps involving statistical treatment. d. Interpret the data involving tabulation. e. Provide answers to the drills. II. Outline
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UNCONVENTIONAL MARKETING “Winners don’t do different things‚ they do things differently” DEFINITION: As the topic (unconventional marketing) tells us that there should be no definition‚ there are no rules‚ there is no leader. The only thing that matters is ‘being different’ in such a way that attracts more attention and gives you more profits than the standard marketing practices. RELEVANCE IN CONTEMPORARY ENVIRONMENT: As the world is becoming glocalized (global village)‚ the competition is increasing
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6.2.5 Statistical analysis The values are expressed as mean ± SEM. The statistical analysis was carried out by one-way analysis of variance using SPSS (version 17) statistical analysis program. Duncan’s post hoc multiple comparison tests were used to determine significant differences among groups. P < 0.05 was considered to be significant. 6.3 Results 6.3.1 Liver function tests Liver toxicity markers were assayed to assess hepatic injury. The activities of alkaline phosphatase (ALP)‚ acid phosphatase
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STATISTICAL ANALYSIS SOFTWARE PACKAGES When you might get directly involved in computer-based data analysis‚ my guess is that you’ll be a little amazed at the capabilities of most statistical analysis software packages. I’ve already alluded to the rather extraordinary number of cases and variables that most packages can handle‚ but that’s just the start of it. The truly amazing element is the speed at which the data are manipulated and calculations are performed. Extremely sophisticated analyses
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459-463 Copyright 1983 by the American Psychological Association‚ Inc. Statistical Significance‚ Power‚ and Effect Size: A Response to the Reexamination of Reviewer Bias Bruce E. Wampold Department of Educational Psychology University of Utah Michael J. Furlong and Donald R. Atkinson Graduate School of Education University of California‚ Santa Barbara In responding to our study of the influence that statistical significance has on reviewers ’ recommendations for the acceptance or rejection
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(211)---STATISTICAL TECHNIQUES FOR RISK ANALYSIS Statistical Techniques for Risk Analysis Statistical techniques are analytical tools for handling risky investments. These techniques‚ drawing from the fields of mathematics‚ logic‚ economics and psychology‚ enable the decision-maker to make decisions under risk or uncertainty. The concept of probability is fundamental to the use of the risk analysis techniques. Hoe is probability defined? How are probabilities estimated? How are they used
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