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 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 statistics is the discipline of quantitatively describing the main features of a collection of data.[1] Descriptive statistics are distinguished from inferential statistics (or inductive statistics)‚ in that descriptive statistics aim to summarize a sample‚ rather than use the data to learn about the population that the sample of data is thought to represent. This generally means that descriptive statistics‚ unlike inferential statistics‚ are not developed on the basis of probability
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QNT/561: Week One Assignment Exercises 80‚ 82‚ and 87 (Ch. 3) Exercise 80* a. The times are a population because we are considering the wait times for all of the customers seated on Saturday night. b. To find the mean: µ = ∑ X N µ = 1021 25 µ = 40.84 To find the median: The midpoint value of the population is 39. c. To find the range: Range = Largest Value – Smallest Value Range = 67 – 23 Range = 44 To find the standard deviation: σ = √∑ (X - µ)2
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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 and Inferential Statistics Paper Descriptive and Inferential Statistics Paper Statistics are used for descriptive purposes‚ and can be helpful in understanding a large amount of information‚ such as crime rates. Using statistics to record and analyze information‚ helps to solve problems‚ back up the solution to the problems‚ and eliminate some of the guess work. In Psychology there has to be a variable or variables to be organized‚ measured‚ and expressed as quantities. Information
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Week3 Discussion Questions QNT/561 1. You have received a business research study done by a consultant for a life insurance company. The study is a survey of customer satisfaction based on a sample of 600. You are asked to comment on its quality. What do you look for? The first thing that I would look for is how the sample is drawn by the consultant. 600 is a bulky sample‚ there could be many ways in which unfairness keeps into an unacceptably drawn sample. If the sample is an ease
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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 Statistics Paper By September 27‚ 2010 In this paper Team B will examine the data that we have collected and we will draw a conclusion based on your findings‚ to get to the conclusion we will analyze the data using descriptive statistics‚ we will calculate the measures of central tendency‚ and dispersion‚ we will also show all the information with graphics and tables for a better understanding of the date‚ after all these steps are executed we will draw our conclusion. Data Analysis
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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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