Statistical Process Control Video games are fun‚ famous and take up lots of time‚ but is there a process for playing videogames and can this process be both monitored and controlled to help the videogame’s players? In other words‚ can statistical methods be applied to some form of monitoring and applied to controlling a process to ensure that the process is enabling one to play a video game to their fullest potential? The goals of statistical process control involved with playing a video game
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of 2‚000 shots by a single player is analyzed. For this player‚ the model of Bernoulli trials is inadequate. KEY WORDS: Bernoulli trials‚ the hot-hand‚ power‚ simulation study‚ case study. 1 1 Introduction In this paper I consider a statistical analysis of basketball shooting in a controlled (practice) setting‚ with special interest in the hot-hand. In Section 2‚ I review and critically examine the two seminal papers on this topic: Gilovich‚ Vallone‚ and Tversky (GVT) [5]‚ and Tversky
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A Study on Gugo and Okra as Homemade Shampoo A Research Done by: Francine Faye A. Jumaquio Majaline Faye A. Tolentino Romer T. Nepumoceno Talavera National High School Talavera Nueva Ecija A Study on Gugo and Okra as a Homemade Shampoo Claudine M. Lajara I-Rosal Introduction This study was conducted to determine the effectiveness of a homemade shampoo out of the native Gugo‚ scientific name Entada phaseuoliodes and Okra‚ scientific name Abelomoschus Esculentus L. in making
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applying theory to economic practice. After completing this module‚ students will be familiar with: the procedure of hypothesis testing; the possible outcomes in hypothesis testing; the difference between significant and nonsignificant statistical findings. After completing this module‚ students will be able to: define what is meant by a hypothesis and hypothesis testing; understand the logic of hypothesis testing and describe the steps of hypothesis testing procedure;
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Analysis of Variance (ANOVA) One Way Classification Random samples of size n are selected from each of k populations. It will be assumed that the k populations are independent and normally distributed with means [pic][pic] and common variance [pic]. We wish to derive appropriate methods for testing the hypothesis: [pic] [pic] [pic] at least two of the means are not equal. Table 1 K random samples | |Population
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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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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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Statistical Significance Eric G Peppers HCS/438 Statistical Applications October 8‚ 2012 Gerald Rintala Statistical Significance Identification of a statistic as being significant is more difficult than the novice statistician may at first understand. At the most rudimentary definition‚ a significant finding simply means the statistic is reliable. This term states how convinced you are that a relationship or difference may exist. Bennett‚ et al states‚ “we determine statistical
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A researcher predicts that watching a film on institutionalization will change students’ attitudes about chronically mentally ill patients. The researcher randomly selects 36 students‚ shows them the film‚ and gives them a questionnaire about their attitudes. The mean score on the questionnaire for these 36 students is 70. The score for people in general on this questionnaire is 75‚ with a standard deviation of 12. Using the five steps of hypothesis testing and the 5% significance level (i.e. alpha
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Elementary Concepts in Statistics Overview of Elementary Concepts in Statistics. In this introduction‚ we will briefly discuss those elementary statistical concepts that provide the necessary foundations for more specialized expertise in any area of statistical data analysis. The selected topics illustrate the basic assumptions of most statistical methods and/or have been demonstrated in research to be necessary components of one’s general understanding of the "quantitative nature" of reality
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