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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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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descriptive statistics and how do they differ from inferential statistics? INTRODUCTION Statistical procedures can be divided into two major categories: descriptive statistics and inferential statistics. Typically‚ in most research conducted on groups of people‚ you will use both descriptive and inferential statistics to analyse your results and draw conclusions. So what are descriptive and inferential statistics? And what are their differences?We have seen that descriptive statistics provide information
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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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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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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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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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Step 1- Identify the problem Develop a problem statement- What are you going to investigate (use the 6 characteristics of a good problem statement) 1. Be interested in the problem 2. Have a manageable scope 3. Be comfortable in terms of the knowledge‚ time‚ and resources needed to investigate the problem 4. Be able to collect and analyze numerical data 5. Must be a practical or theoretical reason for you to research the problem 6. It must be ethical for you to investigate the problem
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PROJECT C MATH 533 INSTRUCTOR Prof AMIR SADRAIN 1. Generate a scatterplot for CREDIT BALANCE vs SIZE Regression Analysis: Credit Balance ($) versus Size 2. Determine the equation of the "best fit" line‚ which describes the relationship between CREDIT BALANCE and SIZE. There is a slight positive relationship between credit balance and size The regression equation is Credit Balance ($) = 2591 + 403 Size 3. Determine the
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