...Advance Inferential Statistics [Name] [Course] [Tutor] [College] [Date] Understand the concepts of Binary Logistic Regression Logistic regression is essential in predicting a categorical variable present in a set of variables that are predictors. During Logistic regression, categorical dependent variable which is the discriminant function is used when all the predictors that are present are continuous and distributed in a nice way. The binary logic regression has become the most preferred data analysis method that describes the relationship between response variable and an explanatory variable that and it is usually used where a variable follows binomial distribution. Assumptions of binary logistic regression Among the assumptions applied in the application of binary logistic regression is that logistic regression usually does not assume a relationship that is linear between the dependable and undependable variables. It is a must for the dependable variable to be a dichotomy i.e. must have two categories. It is also not required that the independent variables to be an interval, distributed in a normal way, linearly related, or even have linear variance within specific groups. Another assumption is that large samples are most important in this regression because it has a maximum likelihood of coefficients of large sample estimates. It is usually recommended that one should have a linear regression of 50 cases and above per predictor...
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...Descriptive and Inferential Statistics Paper Terrance Douglas, Katie Faiman, Marika Schlindwein, Christyl Schoultz, & Samantha Sisk PSY/315 February 3, 2013 Dr. Deborah Suzzane Descriptive and Inferential Statistics Paper Have you ever noticed that we just keep moving forward? There are countless, unseen individuals who make this happen each day, but how do they operate? How do they accomplish all of this? We live in a complex world. Behind the scenes, researchers are steadily developing new theories and testing their outcome. For them, statistics serves a very different purpose. In the next few paragraphs, the role of statistics is explained as their role in the psychological community. Statistics itself is then further subdivided into two different methodologies; descriptive and the inferential (Aaron & Aaron & Coups, 2009). Each method utilizes data for a different purpose, and in each method, data may be gathered differently. Lastly, an example of each of the two types of statistics which helps the reader to distinguish clearly between the descriptive and inferential types of statistics which researchers use to conduct their work. It will further be shown how the two methods of statistics relate to each other in research. It is by understanding the two different roles of each of these types of statistics that researchers are able to gather meaningful data, which is testable and provable and keeps us on a forward moving trajectory...
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...Introduction Predictive analytics is an advanced analytics technique. Predective analytics uses both new and historical data to foresee the result, activity, behavior and trends. Statistics is branch of mathematics, mainly concerns about collection, analysis, interpretation and presentation of tons of numerical facts. Statistics is used in almost every field of research. Head to Head Comparisons Predictive Analytics Statistics Definition Predictive analytics is branch of the data analytics to predict the future events. Statistics in simpler terms is collection of numerical facts. It is the science of collecting, classifying and representing the numerical data. Why it matters? Predictive analytics can identify the risks and opportunities...
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...Industrial/Organizational Psychology Worksheet The purpose of this assignment is to examine the fundamental concepts of the field of industrial/organizational psychology. Using the textbook, the University Library, the Internet, and/or other resources, answer the following questions. Your responses to each question will vary but overall should be 700- to 1,050-words in length. 1. Describe the evolution of the field of industrial/organizational psychology. The roots of Industrial/Organization psychology was in the 1800s and early 1900’s, but did truly come around in the 20th Century. In the beginning it was experimental psychologist who were the first psychologist to apply new principles of psychology to organizations with problems. When first introduced the United States used these new psychology principles on performance of their job and the efficiency of the Organization. As Industrial/Organization psychology has grown it has brought around significant events in the United States such as the very first book of Industrial/Organizational textbook to be published in 1913, Hawthorne Studies which began in 1924, and Civil Rights Act passed in 1964 with many other events that happened. The first two psychologist to have founded Industrial/Organization Psychology was Hugo Munsterberg and Walter Dill Scott which were college professors and experimental psychologist. Hugo Munsterberg was a pioneer in the field of Industrial/Organizational psychology and Clinical...
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...analysis with statistics has got less to do with numbers, and more to do with rules for arranging them. It even lets you create some of those rules yourself, so instead of looking at it like a lot of memorization, it's best to see it as an extension of the research mentality, something researchers do anyway (i.e., play with or crunch numbers). Once you realize that YOU have complete and total power over how you want to arrange numbers, your fear of them will disappear. It helps, of course, if you know some basic algebra and arithmetic, at a level where you might be comfortable solving the following equation There are three (3) general areas that make up the field of statistics: descriptive statistics, relational statistics, and inferential statistics. 1. Descriptive statistics fall into one of two categories: measures of central tendency (mean, median, and mode) or measures of dispersion (standard deviation and variance). Their purpose is to explore hunches that may have come up during the course of the research process, but most people compute them to look at the normality of their numbers. Examples include descriptive analysis of sex, age, race, social class, and so forth. 2. Relationalstatistics fall into one of three categories: univariate, bivariate, and multivariate analysis. Univariate analysis is the study of one variable for a subpopulation, for example, age of murderers, and the analysis is often descriptive, but you'd be surprised how many advanced statistics can be computed...
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...TI-84 Plus TI-84 Plus Silver Edition Guidebook Important Information Texas Instruments makes no warranty, either express or implied, including but not limited to any implied warranties of merchantability and fitness for a particular purpose, regarding any programs or book materials and makes such materials available solely on an "as-is" basis. In no event shall Texas Instruments be liable to anyone for special, collateral, incidental, or consequential damages in connection with or arising out of the purchase or use of these materials, and the sole and exclusive liability of Texas Instruments, regardless of the form of action, shall not exceed the purchase price of this product. Moreover, Texas Instruments shall not be liable for any claim of any kind whatsoever against the use of these materials by any other party. © 2005 Texas Instruments Incorporated Windows and Macintosh are trademarks of their respective owners. ii USA FCC Information Concerning Radio Frequency Interference This equipment has been tested and found to comply with the limits for a Class B digital device, pursuant to Part 15 of the FCC rules. These limits are designed to provide reasonable protection against harmful interference in a residential installation. This equipment generates, uses, and can radiate radio frequency energy and, if not installed and used in accordance with the instructions, may cause harmful interference to radio communications. However, there is no guarantee that interference...
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...Teaching since 1994: Statistics, Research Methods SPSS - Consultancy: UNs, NGOs, Gvts, … - Contact Address: trysothearith@gmail.com Tel: 012 585 865 / 016555507 WU: Statistics for Management Chapter 1 Overview on Statistics by Try Sothearith trysothearith@gmail.com Tel: 012 585 865 / 016555507 1 28-06-2013 WU: Statistics for Management What is Statistics? Why Study Statistics? Uses of Statistics Statistical Challenges Critical Thinking Statistics: An Evolving Field What is Statistics? • Statistics is the science of collecting, organizing, analyzing, interpreting, and presenting data. • A statistic is a single measure (number) used to summarize a sample data set. For example, the average height of students in this class. • A statistician is an expert with at least a master’s degree in mathematics or statistics or a trained professional in a related field. 2 28-06-2013 Why Study Statistics? Communication Understanding the language of statistics facilitates communication and improves problem solving. Computer Skills The use of spreadsheets for data analysis and word processors or presentation software for reports improves upon your existing skills. Why Study Statistics? Information Management Statistics help summarize large amounts of data and reveal underlying relationships. Technical Literacy Career opportunities are in growth industries propelled by advanced technology. The...
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...Research Methodology By Dr Ayaz Muhammad khan 03334690469 ayaz@ue.edu.pk, ayazof92@gmail.com General Objectives The general objective of this course is to introduce students to methods of research. The specific objectives are: (i) to ensure that students acquire some practical research skills; (ii) to help students understand the principles of research; and (iii) to enable students to link the research process with theories of their specialist areas. By becoming familiar with the research process in practice, students should be more confident and competent in evaluating and using research results in their specialist areas. Contents 1. Introduction to Research 2.1 The need and importance of research 2.2 Scientific method and business research 2.3 Ethics and legal issues of research 2.4 Variables and measurement scales 2 Types of Research 2.1 By purpose 2.1.1 Basic research 2.1.2 Applied research 2.1.3 Action research 2.2 By method and technique 2.2.1 Historical 2.2.2 Descriptive – survey, causal comparative, correlation 2.2.3 Experimental 2.2.4 Qualitative – ethnography, case study, content analysis 3 Research Problem 3.1. Selection and statement 3.2.1. Selection 3.2.2. Sources 3.2.3. Statement 3.2. Review of Related Literature 3.3.4. Need 3.3.5. Sources 3.3.6. Note taking 3.3.7. Organizing and citation 4 Formulation...
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...BUSINESS STATISTICS DEMYSTIFIED Demystified Series Advanced Statistics Demystified Algebra Demystified Anatomy Demystified Astronomy Demystified Biology Demystified Business Statistics Demystified Calculus Demystified Chemistry Demystified College Algebra Demystified Earth Science Demystified Everyday Math Demystified Geometry Demystified Physics Demystified Physiology Demystified Pre-Algebra Demystified Project Management Demystified Statistics Demystified Trigonometry Demystified BUSINESS STATISTICS DEMYSTIFIED STEVEN M. KEMP, Ph.D SID KEMP, PMP McGRAW-HILL New York Chicago San Francisco Lisbon London Madrid Mexico City Milan New Delhi San Juan Seoul Singapore Sydney Toronto Copyright © 2004 by The McGraw-Hill Companies, Inc. All rights reserved. Manufactured in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher. 0-07-147107-3 The material in this eBook also appears in the print version of this title: 0-07-144024-0. All trademarks are trademarks of their respective owners. Rather than put a trademark symbol after every occurrence of a trademarked name, we use names in an editorial fashion only, and to the benefit of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been...
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...Final Exam Social Psychology Professor Anderson-Woodard Alfreda Leonard June 17, 2011 Cognitive dissonance - was originally based on the concept of cognitive consistency, but is now more related to self-concept theory. When people do something that violates their view of themselves, this causes an uncomfortable state of dissonance that motivates a change in either attitudes or behavior. Cognitive dissonance is an uncomfortable feeling caused by holding conflicting ideas simultaneously. The theory of cognitive dissonance proposes that people have a motivational drive to reduce dissonance. They do this by changing their attitudes, beliefs, and actions.[2] Dissonance is also reduced by justifying, blaming, and denying. It is one of the most influential and extensively studied theories in social psychology. Observational learning (social learning) - suggests that behavior can be acquired by observation and imitation of others, unlike traditional learning theories which require reinforcement or punishment for learning to occur. Self-perception theory - emphasizes that we observe ourselves in the same manner that we observe others, and draw conclusions about our likes and dislikes. Extrinsic self-perceptions can lead to the overjustification effect. Self-verification theory - focuses on people’s desire to be known and understood by others. The key assumption is that once people develop firmly held beliefs about themselves, they come to prefer that others see them as they...
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...Introduction to Statistics QTM403 Basic Information Program | BBA 3 (Hons.) | Semester | Fall 2015 | Credit Hours | 3 | Pre requisites (if any) | Mathematics | Resource Person | Iftikhar Hussain | Contact information | ihgrw85@gmail.com | Course Description: Important decisions are rarely made by intuition alone. We need to use the data to develop our insights and to support our analysis. Quantitative analysis includes the tools and techniques with which we seek to replicate reality mathematically and statistically. Statistical Techniques are applied in all the functions of business like Operations, Marketing, HR, Finance etc. The aim of this course is to learn when a technique is appropriate and what it can achieve. The emphasis throughout the course is on concepts and reasoning rather than technical details. You should acquire some basic data analysis skills but most importantly, become a more informed and critical producer and user of business Statistical analyses. Learning Objectives: Ser. # | Course Learning Objectives | Link with Program Learning Objectives | 1 | To understand the basic concepts and principles used in Business Statistics. | To inculcate business knowledge and analytical skills in graduates to think decisively in order to develop innovative solutions to problems in a business environment. | 2 | Organizing qualitative and quantitative data into a frequency table, displaying the data through charts...
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...(Prerequisite: MAT 104) COURSE DESCRIPTION This course examines the principles of probability and of descriptive and inferential statistics. Topics include probability concepts, measures of central tendency, normal distributions, and sampling techniques. The application of these principles to simple hypothesis testing methods and to confidence intervals is also covered. The application of these topics in solving problems encountered in personal and professional settings is also discussed. INSTRUCTIONAL MATERIALS Required Resources ALEKS Access Code (bundled with course text when purchased from the Strayer Bookstore) Bluman, A. G. (2013). Elementary statistics: a brief version (6th ed.). New York, NY: McGraw-Hill. Note: Course materials for this class must be purchased from the Strayer Bookstore at http://www.strayerbookstore.com Supplemental Resources Hand, D. J. (2008). Statistics: a very short introduction. Oxford, UK: Oxford University Press. Rumsey, D. (2011). Statistics for dummies (2nd ed.). Hoboken, NJ: Wiley Publishing. Standard Normal Distribution Table. (2012). Retrieved from http://www.mathsisfun.com/data/standard-normal-distribution-table.html Statistics Calculator Free App for your Smartphone, created by Christian Gollner. Retrieved from https://play.google.com/store/apps/details?id=com.cgollner&hl=en COURSE LEARNING OUTCOMES 1. Describe the differences between the various types of data. 2. Apply various descriptive graphical techniques...
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...Samantha Roberts Student Number: Word count: 1,289 There has been an ongoing paradigm debate between quantitative and qualitative research amongst social scientists for a number of years. Qualitative Research is a particularly new concept developed to obtain and analyse data however many researchers are yet to take a liking to this concept (Bryman, 1984). Qualitative research refers to studies that are conducted in natural settings and include participant observation, focus groups and in-depth interviews. (Whitley & Crawford, 2005). These techniques provide a strong insight into how participants view events and experiences to obtain a deeper meaning into the area being studied (Willig, 2001). Quantitative research focuses on the Scientific Method which is based on a series of steps that are followed systematically to acquire data such as experiments that are then analysed and presented into numerical form. This essay will examine both research paradigms while also determining the epistemological underpinnings that determines the methods used to collect and analyse data. Qualitative researchers are mainly concerned with the social world and the influence of events and experiences that has on an individual’s perspective of the world. These researchers are not concerned with answering a specific question, more so to develop a rich understanding of a certain topic mainly through the methods of in-depth interviews, participant observation and focus groups. In-depth interviews...
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...THE STUDY SKILLS AND HABITS OF ATENEO DE ILOILO- SANTA MARIA CATHOLIC SCHOOL HIGH SCHOOL STUDENTS Chapter 1 Introduction Chapter one consists of six parts: (1) Background of the Study, (2) Statement of the Problem, (3) Hypothesis, (4) Definition of Terms, (5) Delimitation of the Study, and (6) Significance of the Study. Part One, Background of the Study, represents the rationale that supports this research endeavour. It gives the reason behind the choice of the problem and provides a strong foundation for the conduct of this study. Part Two, Statement of the Problem, presents the problem and states the general and specific research questions that this study sought to answer. Part Three, Hypothesis, states and advances the hypotheses that were tested in this study. Part Four, Definition of Terms, includes the meanings of the terms that are essential in the development and understanding of this study. Part Five, Delimitation of the Study, includes the discussions of the scope and factors that delimit the scope of this study. Part Six, Significance of the Study, enumerates the persons and institutions that might benefit from the findings of this research. Background of the Study Study skills and habits are techniques or strategies used every time a student is studying. Some students would have the same study habits or may have a different one. Their kind of study habits depends whether a specific study is effective for them. Definitely, the emphasis...
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...accordingly. All ICU staff are well trained and have a valid (AHA) advanced cardiac life support (ACLS) provider card as a mandatory requirement for ICU staff. Methodology: The present study is a retrospective descriptive design. Data was collected from charts of CPR of adult patients who had cardiac arrest during their stay in ICU between Jan 1, 2013 and Dec 31, 2015. The CPR charts and records were available in head nurse station after each event. Analysing these charts for this study was useful in finding the success rate of CPR in the region and various factors associated with CPR outcomes. Factors associated with CPR outcomes are categorized as pre arrest factors and intra arrest factors. Preliminary analysis of few CPR charts has revealed so many factors to correlate with CPR outcomes. List of factors is not limited to: Gender (male or female), CPR time during day or night (Time of Arrest (TOA)), Total Duration of CPR, first monitored rhythm (initial rhythm), weight of patients and immediate outcome (revived Vs...
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