Statistics for economics /
Naghshpour, Shahdad.,
Statistics for economics / Shahdad Naghshpour. - Second edition. - 1 online resource (xix, 195 pages) - Economics collection, 2163-7628 . - Economics collection. .
1. Descriptive statistics -- 2. Numerical descriptive statistics for quantitative variables -- 3. Some applications of descriptive statistics -- 4. Distribution functions -- 5. Sampling distribution of sample statistics -- 6. Point and interval estimation -- 7. Statistical inference with test of hypothesis -- 8. An introduction to regression analysis -- 9. Conclusion -- Glossary -- References -- Index.
Access restricted to authorized users and institutions.
Statistics is the branch of mathematics that deals with real life problems. As such, it is an essential tool for economists. Unfortunately, the way the concept is introduced to students is not compatible with the way economists think and learn. The problem is worsened by the use of mathematical jargon and complex derivations. However, as this book demonstrates, neither is necessary. The book is written in simple English with minimal use of symbols, mostly for the sake of brevity and to make reading literature more meaningful. All the examples and exercises in the book are constructed within the field of economics, thus eliminating the difficulty of learning statistics with examples from fields that have no relation to business, politics, or policy. Statistics is in fact, no more difficult than economics. Anyone that can comprehend economics can understand and use statistics successfully within this field.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat reader.
9781631573903
Economics--Statistical methods.
Null and alternative hypotheses standardization normal distribution function statistical inference test statistics t distribution function F distribution function parameter mean standard deviation interpretation and analysis coefficient of determination degrees of freedom sampling distribution of sample statistics standard error unbiased consistent efficient Central Limit Theorem, and margin of error individual error average error mean squared error analysis of variance (ANOVA)
[genre]
HB137
Statistics for economics / Shahdad Naghshpour. - Second edition. - 1 online resource (xix, 195 pages) - Economics collection, 2163-7628 . - Economics collection. .
1. Descriptive statistics -- 2. Numerical descriptive statistics for quantitative variables -- 3. Some applications of descriptive statistics -- 4. Distribution functions -- 5. Sampling distribution of sample statistics -- 6. Point and interval estimation -- 7. Statistical inference with test of hypothesis -- 8. An introduction to regression analysis -- 9. Conclusion -- Glossary -- References -- Index.
Access restricted to authorized users and institutions.
Statistics is the branch of mathematics that deals with real life problems. As such, it is an essential tool for economists. Unfortunately, the way the concept is introduced to students is not compatible with the way economists think and learn. The problem is worsened by the use of mathematical jargon and complex derivations. However, as this book demonstrates, neither is necessary. The book is written in simple English with minimal use of symbols, mostly for the sake of brevity and to make reading literature more meaningful. All the examples and exercises in the book are constructed within the field of economics, thus eliminating the difficulty of learning statistics with examples from fields that have no relation to business, politics, or policy. Statistics is in fact, no more difficult than economics. Anyone that can comprehend economics can understand and use statistics successfully within this field.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat reader.
9781631573903
Economics--Statistical methods.
Null and alternative hypotheses standardization normal distribution function statistical inference test statistics t distribution function F distribution function parameter mean standard deviation interpretation and analysis coefficient of determination degrees of freedom sampling distribution of sample statistics standard error unbiased consistent efficient Central Limit Theorem, and margin of error individual error average error mean squared error analysis of variance (ANOVA)
[genre]
HB137