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. 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 look at SAS because it is the leading statistical package used in industry. One of the main reasons to use MINITAB is that it is the easiest to use among the popular statistical programs. Navigate to your Excel file and select it. This lets us see all file types in the folder. In the Open Worksheet dialog box, the first step is to click the Files of Type drop-down list and choose All. Of those, we look at MINITAB and SAS in this textbook. The simplest import of an Excel file is by using the File > Open Worksheet command in Minitab. 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. 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. The answer to their question is YES There is are free Microsoft Excel alternatives to Minitab for statistical analysis.

Minitab excel