Business Statistics Semester II 2008/2009 Chapter 1 Introduction of Business Statistics An important decision-making tool in business and is used in virtually every area of business. Among the more common meaning of the word are: 1) the science of gathering‚ analyzing‚ interpreting and presenting data 2) a branch of mathematics 3) a course of study 4) facts and figures 5) a death 6) sample measurement 7) type of distribution used to analyze data Statistics are broadly
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In our AP Statistics project encompassing the first semester’s material‚ we chose to research and analyze the correlation between the number of AP classes Taft seniors have taken in their high school careers and the number of followers Taft seniors have on their Instagram accounts‚ where the number of AP classes was our explanatory variable and the number of Instagram followers was our response variable. Our group chose this question because we were interested in seeing if there was‚ indeed‚ a statistically
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There are several types of bad statistics that can be seen when looking at statistical data. According to the video “Don’t be fooled by bad statistics” (2010)‚ there are three basic types of bad data consisting of poorly collected data‚ leading questions‚ and misuse of center. Poorly collected data can produce misleading results. For example‚ when a publishing company conducted a phone survey of popular magazines but did so during business hours when stay at home moms were most likely to participate
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Size (rework of above) | or | Variance (2) of a portfolio (X‚Y) | b2E(x) 2+c2E(y) 2+2bc•Cov(x‚y) Where b&c are weights | Confidence Interval For a proportion | | Sharpe Ratio | | Zobs | | Exp. Return of a portfolio | | Test Statistic Z values Proportions Take this to the table for “P Value” | | β of a portfolio | or | X critical proportions | Evaluation criteria: | CML Equation | | | | Cost of Levered Equity | | | | WACC | | | | Levered
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UNIVERSITI TEKNOLOGI MALAYSIA ENGINEERING STATISTICS – SSE/SSCE 2193 2012/2013 SEMESTER I TEST 1 - 15% 1 hour ANSWER ALL QUESTIONS 1. a) An experiment is conducted to select a suitable catalyst for the production of a dispersant for cleaning oil spill in Straits of Malacca. Suppose Ir. Aziz‚ the chemical engineer randomly selected three catalysts for testing from 10 different proposed catalysts. Four of the catalysts have high acidity level and six of the catalysts have low acidity level. Calculate
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Section 1: Review and Preview * Chapters 2 and 3 used “descriptive statistics when summarizing data using tools (such as graphs)‚ and statistics (such as mean and standard deviation) * Methods of inferential statistics use sample data to make an inference or conclusion about a population * Two main activities of inferential statistics are using sample data to… * Estimate a population parameters * Such as estimating a population parameter with a confidence interval
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Probability and Statistics Research Project Name: Lakeisha M. Henderson ID: @02181956 Spring 2007 Abstract Table of Contents Principle Component Analysis (PCA) Definition .4 Uses of PCA 5 Illustrative Example of PCA 5 Method to Determine PCA ..6 Basic Analysis of Variance (ANOVA) Purpose and Definition of ANOVA 12 Illustrative Example of ANOVA
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Introduction Statistics is a field of knowledge that enables an investigator to derive and evaluate conclusions about a population from sample data. In other words‚ statistics allow us to make generalizations about a large group based on what we find in a smaller group. The field of statistics deals with gathering‚ selecting‚ classifying data; interpreting‚ analysing data‚ deriving‚ evaluating the validity and reliability of conclusions based on data. Strictly speaking‚ the term "parameter" describes
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1-2 Test 100 points In order to receive full credit‚ please show all work for every problem. You are welcome to use your calculator‚ book and notes‚ but please take this test on your own. 1. In your own words‚ explain what parameters and statistics are and what the difference is between them. Give an example to clarify. (10 points) 2. According to Consumer Reports‚ a random sample of 35 new cars gave an average of 21.1 mpg. What is the variable being studied? What is
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1 1. Statistics is the science of collecting‚ organizing‚ analyzing‚ interpreting‚ and presenting data. TRUE 2. Inferential statistics refers to generalizing from a sample to a population‚ estimating unknown parameters‚ drawing conclusions‚ and making decisions. TRUE 3. Descriptive statistics refers to summarizing data rather than generalizing about the population. FALSE 4. Estimating parameters and testing hypotheses are important aspects of descriptive statistics. FALSE
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