MBSRQ Users’ Manual (Cash‚ 2000). Checking for univariate outliers in the numeric rating scales (BAS-2‚ MBSRQ-AS‚ RSES) and subscales (AE‚ BASS) was done separately on the condition 1 and condition 2 dataset. Outliers was defined as scores above the sum of the interquartile range (IQR) multiplied with a factor of 1.5 added to the 75 % IQR value‚ or below the difference of subtracting the IQR times 1.5 from the 25 % IQR value. No univariate outliers were identified in either condition. Reliability of
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addition‚ skim milk‚ as opposed to whole milk‚ is a homogenous mixture‚ as the fat particles have been removed in the complex filtration process‚ but still containing the original organic compounds in its molecular structure before the process. If the outlier was not included in the graph‚ there would again not be a significant trend‚ suggesting that the concentration of hydronium ions do not directly affect the amount of indicator used. Compared with a purer substance‚ such as vinegar (CH3COOH)‚ which
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p-value is .000 which is less than 5 percent. For a distribution to be considered normal‚ p-value has to be greater than 5% (Field‚ 2013). However‚ the number of the sample (N=115) is large enough to consider it a non-issue. Also‚ the boxplot shows 2 outliers in
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Running head: PROCESS IMPROVEMENT PLAN Process Improvement Plan YOUR NAME HERE University of Phoenix OPS/571 – Operations Management DATE HERE Process Improvement Plan Successful organizations continuously strive to improve the processes they have in place. Process improvement leads to better quality control‚ higher efficiencies and lower costs. In order to implement a process improvement plan‚ it is necessary to collect and analyze data from the process. In this paper‚ I present
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deviation‚ range and variance. These descriptive methods provide the researcher graphical understanding of the data frequency. Helpful graphics‚ such as the five-number summary displayed by a box plot‚ alerts the researcher to outliers in the data and the affect these outliers have on the statistics (Weiss & Weiss‚
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living in the prime time of salesmanship‚ which according to Friedman was the 1880’s to about the 1920’s. In Willy’s case‚ he had the same qualities as Patterson but he was just born in the wrong time period. This connects to another book called Outliers by Malcolm Gladwell. In this book‚ studies show that everything matters about the very exact date that one was born. One example from the book talks about famous icons in history such as Bill Gates. If Bill Gates were not around in the period where
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Getting Started with MegaStat J. B. Orris Butler University Copyright 2002 by J. B. Orris ® Table of Contents 1. Basic Procedures............................................................................................................ 2 Buttons ........................................................................................................................... 3 Data Selection ................................................................................................
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ADVANCED SECURITY ANALYSIS [BFF5040] “THE FAMA-FRENCH CASE STUDY” _____________________________________ GROUP ASSIGNMENT GROUP 18 ALEX LEE [26268418] JIANNAN ZHANG [25842528] XUAN ANH NGO [26274736] YIMING BAI [26413760] ZHOUJING LI [25675087] WORD COUNT: 2‚918 WORDS CONTENTS EXECUTIVE SUMMARY 3 PART ONE. IN-SAMPLEAPPLICATION OF MODEL 3 1.1. FIRST-PASS REGRESSION OF 20 ASSETS 3 1.2 SECOND-PASS REGRESSION OF 20 ASSETS 4 PART TWO. OUT-OF-SAMPLE MODEL PERFORMANCE 5 2.1. CONSTRUCTION OF
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Table of Contents Project Statement 1 Simple Layout of the Starbucks 1 Data Collection and Analysis 1 Inter Arrival Time 3 Service at the Counter 4 Service Time for Barista 1 5 Service Time for Barista 2 6 Observation Table …………………………………………………………………………………………………………………………………….7 Project Statement Starbucks is the largest coffee house company in the world. They have over 16‚000 stores in over 50 countries. We have one of their outlets in our university. We chose
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Aim – to see if there is a positive relationship between having a good memory and being rich in the future Hypothesis – there will be a significant positive relationship between the scores on a memory test and scored on a test to predict your chance of being a millionaire Null Hypothesis – there will be no significant relationship between scores on a memory test and scores on a test measuring the chances of becoming a millionaire and any relationship is due to chance Method: Design – the
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