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Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses. 1st ed. 2016

種類:
電子ブック
責任表示:
by Cheng-Few Lee, John Lee, Jow-Ran Chang, Tzu Tai
出版情報:
Cham : Springer International Publishing : Imprint: Springer, 2016
著者名:
ISBN:
9783319388670 [3319388673]  CiNii Books  Calil
注記:
1 Introduction -- 2 Data Collection and Presentation -- 3 Histograms and the Rate of Returns of Johnson & Johnson -- 4 Numerical Summary Measures on Rate of Returns of Amazon, Walmart and the S&P 500 -- 5 Probability Concepts and Their Analysis -- 6 Discrete Random Variables and Probability Distributions -- 7 The Normal and Lognormal Distributions -- 8 Sampling Distributions and Central Limit Theorem -- 9 Other Continuous Distributions -- 10 Estimation -- 11 Hypothesis Testing -- 12 Analysis Of Variance and Chi-Square Tests -- 13 Simple Linear Regression and The Correlation Coefficient -- 14 Simple Linear Regression and Correlation: Analyses and Applications -- 15 Multiple Linear Regression -- 16 Residual and Regression Assumption Analysis -- 17 Nonparametric Statistics -- 18 Time-Series: Analysis, Model, and Forecasting -- 19 Index Numbers and Stock Market Indexes -- 20 Sampling Surveys: Methods and Applications -- 21 Statistical Decision Theory: Methods and Applications -- 22 Introduction to EXCEL Programm
This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, MINITAB, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures. One studies and uses statistics to learn how to study, analyze, and understand a data set of particular interest. Some of the more popular statistical programs that have been developed to use statistical and computational methods to analyze data sets are SAS, SPSS, and MINITAB. Of those, we look at MINITAB and SAS in this textbook. One of the main reasons to use MINITAB is that it is the easiest to use among the popular statistical programs. We look at SAS because it is the leading statistical package used in industry. We also utilize the much less costly and ubiquitous Microsoft Excel to do statistical analysis, as the benefits of Excel have become widely recognized in the academic world and its analytical capabilities
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