The GMAT Math Bible Je¤ Sackmann / GMAT HACKS May 2008 Contents 1 Introduction 2 How to Use This Book 3 GMAT Math Strategies 4 Basic Facts and De…nitions 5 Mental Math 6 Mental Math: Drill 7 Algebra: Fractions 8 Algebra: Fractions: Drill 9 Algebra: Fractions: Practice 10 Algebra: Decimals 11 Algebra: Decimals: Drill 12 Algebra: Decimals: Practice 13 Algebra: Simplifying Expressions 14 Algebra: Simplifying Expressions: Drill 15 Algebra: Simplifying Expressions: Practice 16 Algebra: Linear Equations
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Solving Math is very easy ‚ easy Solving Math is very easy Just relax and do not worry‚ worry Math is life you must be happy I. Don’t forget to group in tens when you add the numbers Just relax and don’t be mad when subtraction seems so hard You can find the product when you multiply it right Don’t be sad when you divide when decimal comes out Chorus: Solving is easy don’t need to worry Cause Mathematics part of life‚ you know You must be happy in living everyday Cause Math will
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of top 100 banks in the United States according to the total assets. Leading the list was Bank of America‚ followed by JP Morgan Chase and Citibank. Following is an Excel Analysis of total assets ($ billions) of these banks using the descriptive statistics feature. Study the output and describe what you can learn about the assets of these top 100 banks from the output. Top 100 Banks in the U.S Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum
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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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Statistics For Management 1. Introduction 2. Statistical Survey 3. Classification‚ Tabulation & Presentation of data 4. Measures used to summarise data 5. Probabilities 6. Theoretical Distributions 7. Sampling & Sampling Distributions 8. Estimation 9. Testing of Hypothesis in case of large & small samples 10. Chi-Square 11. F-Distribution and Analysis of variance (ANOVA) 12. Simple correlation and Regression 13. Business Forecasting 14. Time Series Analysis 15 . Index Numbers Indian
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Case Problem 1: National Health Care Association(Descriptive Statistics) The National Health Care Association is concerned about the shortage of nurses the health care profession is projecting for the future. To learn the current degree of job satisfaction among nurses‚ the association has sponsored a study of hospital nurses throughout the country. As part of this study‚ a sample of 50 nurses was asked to indicate their degree of satisfaction in their work‚ their pay and their opportunities for
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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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MATH INVESTIGATION 4.2 FACTORIZATIONS on the Math Investigator determines if a number is prime or composite. If a number is composite‚ it prints all its factors‚ the number of factors‚ and its prime factorization. The numbers 1‚ 2‚ 4‚ and 6 have 1‚ 2‚ 3‚ and 4 factors‚ respectively: 1 has only 1 as a factor; 2 has 1 and 2 as factors; 4 has 1‚ 2‚ and 4 as factors; and 6 has 1‚ 2‚ 3‚ and 6 as factors. These factors are illustrated by the rectangles shown here. Starting Points for Investigations
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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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Journal Week 16 I think reflection in this course has been the one component that sets it apart from any other math class I have taken. Even Math 105 last semester had a lot of reflection and the reflection aspect of both classes was incredibly helpful. I have never actually thought about math before. Usually I am just taught they formulas and how to use them. It was rare that a teacher really showed me why a formula worked. In this class‚ I was challenged to really think about what I was learning
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