Essentials Of Excel, Excel Vba, Sas And Minitab For Statistical And Financial Analyses
by John Lee /
2016 / English / PDF
89.3 MB Download
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.
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.
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
extend to about 90 percent of statistical analysis done in the
business world. We demonstrate much of our statistical analysis
using Excel and double check the analysis and outcomes using
Minitab and SAS―also helpful in some analytical methods not
possible or practical to do in Excel.
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
extend to about 90 percent of statistical analysis done in the
business world. We demonstrate much of our statistical analysis
using Excel and double check the analysis and outcomes using
Minitab and SAS―also helpful in some analytical methods not
possible or practical to do in Excel.