graph‚ stem plot and/or scatterplot. Know the meaning of the terms discussed throughout each chapter. (see attached list of most important terms Understand the facts about least-squares regression (pgs. 132 – 134) Understand the cautions about correlation and regression (pgs. 142 – 146) Important terms to understand: Preface and Chapter 1 Definition of statistics Individuals Categorical vs. quantitative variables Distribution The appropriate use of pie charts‚ bar charts‚ histograms
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Kleptomania “Kleptomania” is a word that is commonly used by the public to describe people as a joke but is not necessarily a concept that is completely understood by the average American. This disorder is extremely rare but has a very interesting background and treatment. The most prevalent feature of kleptomania is the impulse to steal things that are not of monetary value or personal meaning to the individual. Before and while stealing‚ the person may feel intense anticipation
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3.4 Assignment: Correlational Studies and Experiments These exercises will help you review the characteristics of experiments and the differences between correlational studies and true experiments. Below you will find two scenarios followed by some instructions. Follow the directions given in the instructions to the best of your ability. Scenario 1 Dr. Sarah N. Dipety conducted an experiment to see whether chocolate can improve memory better than plain sugar can improve memory. To recruit
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Psychology Meyers 10th Edition 2013 ISBN 9781464108556 Psych 101 Study Guide for Exam 1 Prologue‚ Chapter 1‚ Appendix A Definition of “Psychology”(p. 6) Psychology is a discipline that uses the scientific method to study the behavior of people and other living things. Psychology is the science of behavior and mental processes (p. 6). The scientific method (text pgs. 24-25) is used by psychologists to study people’s mental processes. (FROM SLIDE) Scientific method
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“six principles of scientific thinking” 9/7/12: Chapter 2 p. 49-66 1. Describe the advantages and disadvantages of each of the four discussed research designs. 2. Describe the role of correlational designs and distinguish correlation from causation 3. Identify the components of an experiment and potential pitfalls 9/10/12: Chapter 2 p. 66-69; 70-74 1. Describe the ethical obligations researchers towards their research participants 2. Describe both sides of the debate
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Causation is referred to as cause and effect scenarios but correlation is the relation between two different but mutually exclusive things. 6. A control is often use to sort out many variable‚ when it comes to students‚ classwork can be the control since every student has classwork they
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Critical literature review techniques In order to qualify as a ‘critical’ review you must go beyond the simple description of the sources you read. If you are writing a review with reference to specific research questions or objectives then you might consider: • the breadth of different pieces of work - how wide a range of the possible subject matter defined by your question(s) or objective(s) do different pieces of work cover? • the depth of the different pieces of work - how detailed
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activities to name a few. In this paper I will figure out if there is a correlation between childhood obesity and school cafeteria food. Many people feel that school cafeteria food is partly to blame for childhood obesity. I believe this is an example of correlation and causation. Data analysts often jump to unjustified conclusions by mistaking an observed correlation for a cause-and-effect relationship. A high sample correlation coefficient does not necessarily signify a causal relation between
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is to determine the relations among two or more variables. Information is collected from several variables‚ and correlational statistical methods are employed to gain further information (Thompson et al.‚ 2005). The existence of a correlation does not suggest causation‚ and there is no manipulation of the variables in correlational research. (Lomax & Li‚ 2013) Experimental Research Experimental research asks the question‚ what causes something to occur? Sherpis‚ Young‚ & Daniels (2010) explain experimental
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methods as special cases. We will assume that you are familiar with the basic logic of statistical reasoning as described in Elementary Concepts. Moreover‚ we will also assume that you are familiar with the concepts of variance‚ covariance‚ and correlation; if not‚ we advise that you read the Basic Statistics section at this point. Although it is not absolutely necessary‚ it is highly desirable that you have some background in factor analysis before attempting to use structural modeling. Major applications
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