"Statistical significance" Essays and Research Papers

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    The Concurrent Validity of Money Metaphor Inventory By MUOKWUE MARTIN E. M. Department of Psychology‚ Faculty of Social Sciences Nnamdi Azikiwe University‚ AWKA. 1.1 INTRODUCTION Researchers have of recent turned their search light on the impact of money to human activities‚ especially as it concerns ethical issues about money. It is no doubt that we are really in the age of the economic man and money play a pivotal role on the day to day activities in the modern society.

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    Eight university student volunteer were selected for this experiment session. All subjects were right handed‚ and had normal or corrected to normal vision. Subjects had experience using a computer Informed consent was provided. top of controller cube. The cursor cube was drawn to be superimposed on the bottom center of the controller cube. The target was a wireliame graphic cube that appeared on the table surface to the subject. The stereoscopic‚ head-coupled‚ graphic display was updated

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    The goal of this study was to measure the oxygen consumption of goldfish in an ambient environment and dark environment and calculate if there was any difference in metabolism based on oxygen consumption. The experimental hypothesis was that the metabolic rate of the goldfish as measured by oxygen consumption differs in a dark environment than in an ambient environment. The null hypothesis was that the metabolic rate of the gold fish as measured by oxygen consumption does not differ in darkness versus

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    The purpose of this experiment is to determine the response time for dominant and non-dominant hand for visual stimuli‚ and using only dominant hand to test auditory and tactile response. Also‚ to test involuntary the response time for the reflex of the knee from calculating the distance. Based on my group hypothesis‚ we said that visual stimulus dominant hand had a faster response time than non-dominant hand because the dominant hand is use more often thus repetition creates stronger connection

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    Use of Ranks in One-Criterion Variance Analysis Author(s): William H. Kruskal and W. Allen Wallis Source: Journal of the American Statistical Association‚ Vol. 47‚ No. 260 (Dec.‚ 1952)‚ pp. 583-621 Published by: Taylor & Francis‚ Ltd. on behalf of the American Statistical Association Stable URL: http://www.jstor.org/stable/2280779 Accessed: 05-03-2015 13:33 UTC Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use‚ available at http://www.jstor.org/page/info/about/policies/terms

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    Task1: Describe two basic types of inspection used in sampling for process control and explain two processes at your company that could benefits from each type of inspection. In you answer gives the example of variation expected from that process. Answer 1- There are two types of data inspection which are below: 1. Variable or continuous scale 2. Attribute or discrete scale 1. Variable or continuous data inspection: The variable data inspection is the type of inspection which varies

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    Statistical quality control (SQC) The application of statistical techniques to measure and evaluate the quality of a product‚ service‚ or process. Two basic categories: I. Statistical process control (SPC): - the application of statistical techniques to determine whether a process is functioning as desired II. Acceptance Sampling: - the application of statistical techniques to determine whether a population of items should be accepted or rejected based on inspection of a sample of those

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    Submit completed tests as word or pdf files via email to paul.kurose@seattlecolleges.edu Due: Sunday‚ May 19 (by 8am). 1. a) In Chapter 6‚ you learned to find interval estimates for two population parameters‚ a population mean and a population proportion. Explain the meaning of an interval estimate of a population parameter. An interval estimate for a specified population parameter (such as a mean or proportion) is a range of values in which the parameter is estimated to lie. In Chapter 6

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    chapter 1: STATS – STATISTICS DATA AND STATISTICAL THINKING 1.1 The science of statistics * Statistics - is the science of data. It involves collecting‚ classifying‚ summarising‚ organising‚ analysing‚ and interpreting numerical information. 1.2 types of statistical applications in business * Descriptive Statistics - describe collected data. Utilizes numerical and graphical methods to look for patterns in data‚ summarize the information in the data and to present the information in a

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    CHAPTER 4 – THE BASIS OF STATISTICAL TESTING * samples and populations * population – everyone in a specified target group rather than a specific region * sample – a selection of individuals from the population * sampling * simple random sampling – identify all the people in the target population and then randomly select the number that you need for your research * extremely difficult‚ time-consuming‚ expensive * cluster sampling – identify

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