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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6.14 Show that for a sample of n = 39‚ the smallest and largest Z values are – 1.96 and + 1.96‚ and the middle (i.e.‚ 20th) Z value is 0.00. 6.19 The data in the file spending represent the per-capita spending‚ in thousands of dollars‚ for each state in 2004. Decide whether the data appear to be approximately normally distributed by A. Comparing data characteristics to theoretical properties. B. Constructing a normal probability plot. 7.1. For a population containing N=902 individuals what code number
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In my thesis‚ I will analyze three websites on obesity statistics in the United States. The analysis of each website will contain how they function as sources‚ their strengths and weakness. The first source on obesity statistics is from the National Conference of State Legislatures (NCSL). This website is for policymakers to give them access to research‚ technical assistance and opportunities to exchange ideas on state issues. This information captures the basic overview where obesity occurred in
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to an x value x= mean + z score(sd) Ex: z=1.96 mean=9 sd=2 x= 9 + 1.96(2)= 12.92 For a specific data value: invNorm(z score area‚ mean‚ sd) or transform x value 5.5 Sampling distribution: the probability distribution of a sample statistic that is formed when samples of size n are repeatedly taking from a population. Binomial distribution: if np>5 or nq>5 use normal distribution to apporximate x = sq rt of npq Ex: n-45‚ p=0.62‚ q= 0.38 np= 45(0.62)= 27.9 and nq + 45(0.38)=17
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In this paperwork of QNT 561 Final Exam you will find the answers on the next questions: 1. A difference between calculating the sample mean and the population mean is 2. Which of the following measures of central location is affected most by extreme values? 3. Which level of measurement is required for the median? 4. In which of the following distributions is the probability of a success usually small? 5. Which of the following is not a requirement of a probability distribution
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2 0 1 3 Sp e c i a l R e p o r t o n Paddlesports K aya k i n g | C a n o e i n g | R a f t i n g | S ta n d u p pa d d l i n g A Partnership Project of: Paddlesports offer opportunities to get a unique view of the American landscape while enjoying the outdoors. Whether rafting down a river‚ kayaking in the ocean‚ stand up paddling on a lake or canoeing through a stream‚ millions of Americans enjoyed paddlesports in 2012. In fact‚ more than six percent of Americans participated in paddling —
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Learning Team Deliverable Week 4 Learning Team Deliverable TA-4D) Recessions seem to show up every so often and create economic hardship. One might think that macroeconomic policymakers could tame the business cycle and implement policies that would end recessions. Are recessions a necessary fact of macroeconomic life? If not‚ what would it take to eliminate them? If they are unavoidable‚ what types of business can benefit from them? How would a recession affect your
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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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the different shapes of the human foot; so in order to make my data as accurate as I could make it I restricted my study to males‚ because males and females have different shoe scales. For future studies the sources of error mentioned above should be addressed‚ but when taking all this information into consideration my data still resulted in a positive linear trend. Right off the bat I could see a strong positive linear trend. Proving my hypothesis that an individual a taller individual has a larger
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STAT 110 INTRODUCTION TO DESCRIPTIVE STATISTICS Fall‚ 2006 Lecture Notes Joshua M. Tebbs Department of Statistics The University of South Carolina TABLE OF CONTENTS STAT 110‚ J. TEBBS Contents 1 Where Do Data Come From? 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Individuals‚ variables‚ and data . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 Observational studies . . . . . . . . . . . . . . . .
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