p r(1 − p) pet 1 − (1 − p)et p 2 r MATHEMATICAL STATISTICS WITH APPLICATIONS This page intentionally left blank SEVENTH EDITION Mathematical Statistics with Applications Dennis D. Wackerly University of Florida William Mendenhall III University of Florida‚ Emeritus Richard L. Scheaffer University of Florida‚ Emeritus Australia • Brazil • Canada • Mexico • Singapore • Spain United Kingdom • United States Mathematical Statistics with Applications‚ Seventh Edition Dennis D. Wackerly
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EXERCISE IN STATISTICS Below are hypothetical data. (1) Organize them in bivariate tables to answer the problems below. Determine the statistics to use for each. 1. Are sex and occupation associated? 2. Are age and income correlated? 3. Are educational attainment and sex associated? 4. Are civil status and occupation associated? 5. Are occupation and income related N>E> you may use data transformation (from interval data to nominal data) Respondent No. Age Sex Civil Status Educational attainment
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Lecture Notes: Statistics A note on basic statistics Statistics is the practice or science of collecting and analyzing numerical data in large quantities. So there are two parts1. Collection of Data 2. Analysis of Data- understanding what the data says. Steps in Statistics To carry out any statistical operation‚ the following steps need to be followed‚ in the given order: 1. 2. 3. 4. 5. 6. Sampling Estimation Hypothesis Generation Testing Regression Prediction Collection of Data: Sampling
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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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Chapter one summary The use of statistics is research is noted in this chapter. It reveals that statistical procedure could be segregated into two section and they are descriptive and inferential. In analyzing both descriptive statistics does exactly what it says‚ it describes the set of data. The problem is presented and descriptive statistical basically describes what the data has to say about the same issue. However inferential statistics main goal is making predictions or inferences about
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On the 30th of December‚ 2016‚ I watched the TED talk of Ken Robinson‚ british author and public speaker. He explains his view on the role of creativity in children‚ providing his opinion that creativity is just as important in education as literacy‚ and that you grow out of creativity‚ not into it. Specifically he claimed that education eradicates creativity. As he said‚ “I believe this passionately‚ that we don’t grow out into creativity‚ we grow out of it. Or rather‚ we get educated out of it
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not = 440 Statistic 4.9 With 98% confidence Lower limit 3.05348411 Upper limit 24.7249703 With 98% confidence we cannot reject Ho since the statistic is inside the acceptance zone b) Check the same hypothesis with 95% confidence. With 95% confidence Lower limit 3.81574825 Upper limit 21.9200493 With 95% confidence we cannot reject Ho since the statistic is inside
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While Statistics can also be misused in many ways such as using not representative samples‚ small sample size‚ ambiguous averages and dispersions‚ detached facts‚ implied connections‚ wrong and misleading graphs‚ wrong use of statistical techniques‚ serious violation of assumption behind the statistical techniques and faculty surveys‚ we should also realize that Statistical literacy is not a skill that is widely accepted as necessary in education. Therefore a lot of misuse of statistics
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The Consumer Behavior of the Filipino Middle Class Youth As Taken From De La Salle University Students “A Market Study on Brand and Product Preferences of the Youth” In partial fulfilment of the requirements in Economic Statistics 4/16/2009 Submitted to: Dr. Cesar Rufino Samuel John Daniel B. Paculan I. BACKGROUND AND IMPORTANCE OF THE STUDY This study was done to determine the preferences of the youth toward local and imported brands‚ so as to find out the marketability of local brands
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techniques can be used to analyze nominal level data to describe variables‚ examine relationships among variables‚ and determine differences between groups in distribution-free or non-normally distributed samples. The assumptions of nonparametric statistics are: (1) values from measurement of study variables need not be normally distributed in the sample‚ and (2) the level of measurement of study variables is usually nominal or ordinal. The mode is the only measure of central tendency that can be calculated
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