R=0.86434 is positive and close to 1‚ it suggests that there is a strong positive relationship between the shoe size and the height. Next‚ let’s formulate the following data (see SHOW SIZE DATA) Using Excel to get the following descriptive statistics for both variables:
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Uses of Statistics HCS/438 August 2‚ 2011 Mike Janson Uses of Statistics The use of statistics has been proven to assist the understanding of information‚ data‚ in many ways. Statistical information is not just collected‚ but it is also organized and quantified‚ providing a clearer picture for further study. This writer will explain how statistics are used in my personal workplace‚ and describe aspects of the statistics used. Statistics in Personal Workplace My personal workplace is what
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Year 0 2007 Investment Capital outley Δ Net Working Capital Cash outley NWC Investment Recovery Equipment Salvage NWC (full recovery) Sales Cost of Goods Sold (-) SG&A Expense (-) Opperating Savings (+) Depreciation (-) Operating Profit before tax (16‚000‚000) Year 1 2008 (2‚000‚000) 400‚000 (400‚000) Year 2 2009 Year 3 2010 1‚000‚000 (600‚000) 1‚000‚000 4‚000‚000 3‚000‚000 200‚000 2‚000‚000 3‚000‚000 (200‚000) 10‚000‚000 7‚500‚000 500‚000 3‚500‚000 3‚000‚000 2‚500‚000 10
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Skills of an event organiser P2 An event organiser needs to plan‚ organise and meet people when organising an event. The organiser needs to control the whole event‚ from planning at the start and running the event on the day. The organiser needs to have good communication skills in order to cater for the client’s needs and to give information and instructions to all members of the team. Time management is an essential skill needed from the events manager as they have to make sure the event
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1. Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between (-53.68‚64.64)‚ Where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places. X =5.48‚ SD = 22.93 5.48 – 1.96(22.93) = AND 5.48 + 1.96(22.93) = 5.48 – 44.9428 = AND 5.48 + 44.9428 = -39.4628 AND 50.422 (-39.46‚ 50.42) 2. Which of the following values from Table 1 tells us about variability of the scores in a distribution
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Rape Statistics Working at a Historic Black College/University (HBCU) for the past three (3) years‚ I just recently came in contact with a rape victim. I’ve seen the shows but never thought‚ I would be a person to come in contact with one. Talking to the different individuals involved with the student case‚ I decided to do my research paper on rap victim. Specifically‚ I am looking at how the likelihood of being the victim of a violent crime in the United States is related to gender and
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eliminated‚ that is‚ . This statistic ranges from -1 to +1. Absolute values above 0.2 indicate great skewness (Hildebrand‚ 1986). Skewness has also been defined with respect to the third moment about the mean: ‚ which is simply the expected value of the distribution of cubed z scores. Skewness measured in this way is sometimes referred to as “Fisher’s skewness.” When the deviations from the mean are greater in one direction than in the other direction‚ this statistic will deviate from zero in
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Defining Applied Linguistics and its scope Applied linguistics it seems to be a not very easy concept to define‚ because many people would think different things when it comes to applied linguistics. Indeed‚ for many years those who carry out applied linguistics seem do not agree upon a universal definition. However‚ what it is true for all of them is the fact that there is a gap that needs to be filled in terms of defining applied linguistics. The definition of the problem is probably due to
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Syllabus for Statistics Course No. 21090024 Period：54 Credit：3 Course Nature：Compulsive Assessment: Usually 10%‚ Group Work 20%‚ Final Exam70% Textbook： Statistics(3rd Edition)， Junping Jia，Xiaoqun He，Yongjin Jin，China Renmin University Press，2007 Reference： Statistics for Business and Economics(7th Edition) Anderson‚ D.R.‚ & Sweeney‚ D.J. & Williams‚ T.A. 1.Introduction Statistics is a core curriculum for students in finance and economics major‚ which is a science method that starts with data
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Statistics Project | September 26 2011 | The project statistically studies and compares the daily closing price movement of two investment options – real estate and gold represented by DLF stock and SBI Gold ETF respectively – over the past 3 years. | Comparative study of DLF Stock and Gold ETF price movement | Contents Stage 1 3 Overview 3 Problem Statement 3 Inferences 5 Stage 2 6 Hypothesis Testing 6 Stage 3 7 Linear Regression Analysis 7 Manual Calculations 7 Regression
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