164 Average Absorbance 0.000 0.092 0.117 0.126 0.157 0.341 0.172 Observations from data collected: Overall through the range of data from 0.000 to 0.180 there was a small range most of the outcomes were the same and consistant‚ the only outlier of the data was the no alcohol mouthwash which ranged from 0.178 to o.503 showing that either during the lab there was a technical error made or it had a lot of alcohol concentration. Calculations made in lab: Concentration of ethanol solution:
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Designing a Pay Structure Bianca Humphrey Indiana Wesleyan University Course Instructor 11/07/2014 I have read and understand the plagiarism policy as outlined in the syllabus and the sections in the Student Bulletin relating to the IWU Honesty/Cheating Policy. By affixing this statement to the title page of my paper‚ I certify that I have not cheated or plagiarized in the process of completing this assignment. If it is found that cheating and/or plagiarism did take place in the writing
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VANSA DOOKERAN Additional Mathematics SBA School Based Assessment Vansa Dookeran 5X TABLE OF CONTENTS Page # Project Title 3 Purpose of Project 3 Method of Data Collection 4 Presentation of Data 6 Analysis of Data 18 Discussion of Findings and Conclusion 31 Bibliography 33 Appendix 34 Title: To investigate the time taken to achieve
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Consumer Research‚ Inc. is investigating whether there is any correlation between specific characteristics of credit card users and the amount these users charge on credit cards. Their objective is to determine if these characteristics can accurately predict the annual dollar amount charged by credit card users. Data was collected from a sample of 50 credit card consumers presenting information on the annual income (referred as Income)‚ size of household (referred as Household)‚ and the annual
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We will use this formula in our experiment to find the resistance of the different wires and then once we have 3 different resistances from the given wire‚ we will work out the mean‚ in order to have a reliable answer with us‚ having removed any outliers the experiment may show. Model Of Resistance: Resistance measures a materials opposition to the flow of electric current. An example of a model of resistance is a motorway. For instance‚ if all the lanes are open on the road‚ there will be a steady
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financial institutions to react on the financial crisis‚ the negative interest income of orrstown showed in year 2012 and 2013. Because there would be little chance of any big financial crisis in the following five years‚ it is reasonable to take outliers. Take the average of the annual growth rate of total interest income from 2006 to 2011‚ and use it as the annual growth rate of total interest income for the nest five years. 1.2 Net Interest Income Margin Graph 2.2 Net Interest Income Margin
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spent deliberately practicing. The study resulted in finding that on average they only spend 3‚000 hours practicing deliberately (O’Sullivan). Athletics just don’t work the same as other subjects like games. This rule should’ve been made clear in Outliers that it only applies to certain areas of expertise. Deliberate practice only accounts for 18% of skills in sports (Hambrick). Sports are different in the sense that it has to do with people’s physical abilities‚ while other things like games are
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again this MUST be part of your excel file. (1 pt) This was done in Excel (H column). In excel sort the value of the standardized residuals from largest to smallest to identify any points that look like they may be outliers. Identify any points that you feel are outliers and discuss the values of X and Y for these points. Include the original scatterplot of the data in this discussion. (1 pt‚ 1 pt‚ 1pt) Of these points‚ which points do you believe may be influential (if any?). Why or
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1 LANGLEY HIGH SCHOOL 2013 AP STATISTICS SUMMER ASSIGNMENT Welcome to AP Statistics! You have selected a course unlike any other math course. The purpose of this Summer Assignment is to: 1. Give you information on what to expect‚ and how this course is different from other math courses. 2. Refresh your knowledge on statistics topics that you should know prior to this course. 3. Give you a chance to demonstrate your ability to analyze data and write conclusions. The Assignment is divided
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Stat 326 – Introduction to Business Statistics II Review – Stat 226 Spring 2013 Stat 326 (Spring 2013) Introduction to Business Statistics II 1 / 47 Stat 326 (Spring 2013) Introduction to Business Statistics II 2 / 47 Review: Inference for Regression Example: Real Estate‚ Tampa Palms‚ Florida Goal: Predict sale price of residential property based on the appraised value of the property Data: sale price and total appraised value of 92 residential properties in Tampa Palms
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