Descriptive and Inferential Statistics Statistical methods in psychology have two main branches‚ which are descriptive and inferential. They each play a major part in the data that is collected for research and other studies. This paper will show the functions of statistics‚ how descriptive and inferential statistics are defined and the relationship between the two. Statistics is a necessary tool in psychology. It provides data for research studies as well as providing background information and
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Descriptive Statistics is used when describing certain aspects of an immediate group within the population. For example‚ we may want to describe a math class and compare it to a class of science. Things that we may want to use for comparison would be age‚ gender‚ and even math skills. Descriptive statistics would allow us to analyze all those different areas and provide a comparison to view similarities‚ differences and ratios. Before any study is to be observed certain factors would have to be ascertained
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Running head: DESCRIPTIVE AND INFERENTIAL STATISTICS 1 Descriptive and Inferential Statistics DESCRIPTIVE AND INFERENTIAL STATISTICS 2 Descriptive and Inferential Statistics Descriptive and inferential statistics are incredibly similar forms of research testing within psychology. Each seeks to analyze‚ describe‚ and possibly predict a population’s behavior. As with psychology itself‚ statistical analysis within psychology began as a philosophy (Goodwin‚ 2008). This philosophy quickly
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Descriptive & Inferential Statistics The study of statistics plays a significant role in each of our lives. Statistics is a method often used in every scientific field to relay important information found‚ support new theories as they are developed and keep our society aware and up to date with the issues that affect us and what type of effect they have. From a psychological standpoint statistics provides each individual with the tools necessary to understand the work of psychologists before
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Descriptive and Inferential Statistics Greg Hagen‚ Jean Parker‚ Jade Riley‚ Nanika Woods‚ Myron Hamilton‚ Tajah Gutierrez‚ Treva Eley PSY/315 June 9‚ 2012 Nancy A. Walker Descriptive and Inferential Statistics Statistics is a vital part of the psychological field as the analysis of statistics provides researchers with a means of both describing the results of research and surmising from those results‚ as well as drawing conclusions related to a hypothesis. Statistics gives a better
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Descriptive and Inferential Statistics Paper PSY 315 Descriptive and Inferential Statistics Whether doing original research or conducting literature reviews‚ one must conclude what a powerful and versatile tool statistics are in the hands of researchers. From basic statistics such as data description‚ to using complex statistical methods to foresee future patterns or strengthen scientific claims about current climates‚ the role of statistics in research cannot be taken lightly and is essential
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Contents Data Analysis: Analyzing Data - Inferential Statistics Inferential statistics deal with drawing conclusions and‚ in some cases‚ making predictions about the properties of a population based on information obtained from a sample. While descriptive statistics provide information about the central tendency‚ dispersion‚ skew‚ and kurtosis of data‚ inferential statistics allow making broader statements about the relationships between data. Inferential statistics are frequently used to answer cause-and-effect
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Inferential Statistics and Findings Erick Mart QNT/561 August 25th 2014 Mario LOPEZ Inferential Statistics and Findings Inferential Statistic is the process of drawing conclusions from data that are subject to random variation‚ for example‚ observational errors or sampling variation. Our team uses inferential statistic to compare two groups‚ which are Melks and DHL. This paper outlines the sampling and data collection procedure used to test the null hypothesis. The null and alternate hypotheses
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Why would a researcher wish to construct an index? Give one example of an index. a. An index is a set of variables combined to measure a more abstract concept. A researcher may wish to construct an index‚ simple because a single measure may not work. For example the Uniform crime index‚ which averages the number of crimes per 100K of people‚ only having the crime of murder or robbery would not be a sufficient measure of the entire phenomena of crime what about rape‚ homicide etc. that would be adding
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PARCIAL Inferential statistics Sampling * The purpose of sampling is to select a set of elements (sample) from a population that we can use to estimate parameters about the population * The bigger the sampling‚ the more accurate our parameters will be. example: In the experiment of deciding if CEGL girls are smarter that CEGL boys‚ which would be your statistical hypothesis? Hypothesis testing But now‚ you already gathered information about a sample No‚ you will test if your hypothesis
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