= = = = = = Research and Evaluation I - 341 Syllabus –Rev 6 Note: Please note each week’s individual assignments from this syllabus, find the corresponding chapter (s) and read them along with chapters assigned for reading in the e-text. As far as the assignments to be submitted are concerned, you are only, and only, responsible for the requirements which appear in my syllabus as presented below. |Values for the Course Assignments
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DATA ANALYSIS TAKE-HOME EXAM Introduction This report provides an insight into the investment behavior of 50 couples. Using different statistical methods and observing the trend followed by the effect of various independent variables on a single independent variable , a conclusion will be reached. The following are the main tools used for analysis of investment behavior of 50 couples who are selected from a sample size of 194 couples. 1. Descriptive statistics 2.Histograms 3.Pivot tables
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DS 533 Fall 2003 Exam # 1 Name: ___________________ Show All your Work 1. You are the quality control manager in a plant that produces bungee cords. Your responsibility is to oversee the production of the synthetic material in the cord. Specifically, your responsibility is to ensure that bungee cords have the correct elastic qualities to avoid personal injury lawsuits. Your efforts are compounded in that you use two procedures for testing bungee cord elasticity, procedure
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MATH 120 Statistics Joshua Hernandez Homework #1 Section 1.2 1. What is a voluntary response sample? A sample in which the subjects decide whether to be included in the study. 2. Why is a voluntary response sample generally not suitable for statistical study? This sample may have a bias resulting from subjects that have a special interest in the subject being studied. 3. What is the difference between statistical significance and practical significance? Statistical significance
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Tell when to use a Pearson’s correlation, the possible research hypotheses for this statistical model, and when correlation can be used to test each type of Research Hypothesis (attributive, associative and causal). 1. A Pearson's correlation is used when you want to find a linear relationship between two variables. It can be used in a causal as well as a associativeresearch hypothesis but it can't be used with a attributive RH because it is univariate. 2. Pearson's correlation should be used only
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Madison Williams Statistics Racer 12/07/2015 Final Exam 1. Mean (2+4+6+8+10+12+14+16)/8 =72/8 =9 Differences 2-9=-72=49 4-9=-52=25 6-9=-32=9 8-9=-12=1 10-9=12=1 12-9=32=9 14-9=52=25 16-9=72=49 Variance 49+25+9+1+1+9+25+49=168 168/8=21 Standard Deviation √21=4.582575695 2. Binomial Problem What is the probability of asking 200 children if they asked for an Ipad from Santa? 3. A) Rocking around the Christmas Tree plays every 90 minutes, if you arrive at random and stay for 20 minutes
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BUSINESS STATISTICS DEMYSTIFIED Demystified Series Advanced Statistics Demystified Algebra Demystified Anatomy Demystified Astronomy Demystified Biology Demystified Business Statistics Demystified Calculus Demystified Chemistry Demystified College Algebra Demystified Earth Science Demystified Everyday Math Demystified Geometry Demystified Physics Demystified Physiology Demystified Pre-Algebra Demystified Project Management Demystified Statistics Demystified Trigonometry Demystified BUSINESS STATISTICS DEMYSTIFIED
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Lecture 7. Sampling Distributions. Statistical Inference: Using statistics calculated from samples to estimate the values of population parameters. Select Random Sample Sample for (statistic) Calculate to estimate Becomes Population Parameter. BASIC Example: Soft Drink Bottler μ=600, σ=10. Normal Distribution. What is P(X>598)? p(x<598) . Sampling Dist.of the Mean – Distribution of all Possible Sample Means if you select a sample of a certain size. μX= μ. μ = i=1NXiN (formula
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Dhaka, Bangladesh Gulshan 2, Dhaka-1212, Bangladesh EDUCATION: Post Doctoral Industrial Statistics, (Concentration: Quality Improvement) September 2002 University of Calgary, Alberta, Canada. Research: Modeling censored data for quality improvement from replicated design of experiments. Ph.D. Industrial Engineering, (Area: Production Management and Applied Statistics.) September 1999 Northeastern University, Boston, USA. Thesis: Analysis of censored
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Part 1: Summary statistics were computed using MS-excel: Summary Statistics: Full-Time Enrollment | | | | Mean | 165.16 | Standard Error | 28.1682256 | Median | 126 | Mode | 30 | Standard Deviation | 140.841128 | Sample Variance | 19836.22333 | Kurtosis | -0.751273971 | Skewness | 0.756612995 | Range | 451 | Minimum | 12 | Maximum | 463 | Sum | 4129 | Count | 25 | Insights: 1. Average full time enrollment is 165 students and median enrollment is 126 students
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