An introduction to data analysis using minitab 18

#An introduction to data analysis using minitab 18 how to#
#An introduction to data analysis using minitab 18 manual#
#An introduction to data analysis using minitab 18 windows#

#An introduction to data analysis using minitab 18 manual#

The purpose in writing this manual is to provide some simple examples of basic statistical techniques so that students can see that statistics is more than just a long list of mind-boggling formulas. The lessons are self-explanatory and explore topics that are covered in all elementary texts. The MINITAB lab manual is designed to be used with any Elementary Statistics textbook.

#An introduction to data analysis using minitab 18 windows#

28.9, we summarize and conclude this chapter.An Introduction to Data Analysis Using Minitab for Windows Book Review: Section 28.8 presents a portfolio insurance example. Section 28.7 describes the relationship between delta, theta, and gamma and their implication in delta-neutral portfolio. Section 28.6 derives the partial derivative of stock options with respect to their exercise prices. Sections 28.1вЂ“28.5 discuss the formula, Excel function, and applications of delta, theta, gamma, vega, and rho, respectively. Some examples will be provided to explain applications of these Greek letters. Here we specifically derive Greek letters for call (put) options on non-dividend stock and dividend-paying stock. Parts of these mathematical relationships are called вЂњGreek lettersвЂќ by finance professionals. In this chapter, we will mathematically analyze these kinds of relationships. 26, we have discussed how the call option value can be affected by stock price per share, exercise price per share, the contract period of the option, the risk-free rate, and the volatility of the stock return. Appendix 26.1 defines the Bivariate Normal probability density function, and Appendix 26.2 presents the Excel program to calculate the American call option when dividend payments are known.

#An introduction to data analysis using minitab 18 how to#

26.7 presents how to evaluate American Call option when dividend yield is known, and Sect. 26.6 presents the BlackвЂ™s approximation method to calculate American Call Options, Sect. 26.5 presents Bivariate Normal Distribution Approach to calculate American Call Options, Sect. 26.4 presents option pricing model for Currencies, Sect. 26.3 presents an option pricing model for Stock Indices, Sect. Section 26.2 presents an option pricing model for Individual Stocks, Sect. In addition, we are going to present how an Excel program can be used to estimate American Options. This chapter shows how Microsoft Excel can be used to estimate call and put options for (a) BlackвЂ“Scholes model for individual stock, (b) BlackвЂ“Scholes model for stock indices, and (c) BlackвЂ“Scholes model for currencies. Therefore one of the biggest costs in both time and money in studying and using statistics is the implementation costs of implementing statistical concepts on data sets that we are interested in studying, analyzing, and understanding. The correlation coefficient formula is obviously more complex and tedious to perform-and other computational formulas are even more complicated. XВЇ=в€‘i=1nxinr=1nв€’1в€‘i=1nxiв€’xВЇyiв€’yВЇ1nв€’1в€‘i=1nxiв€’xВЇ21/21nв€’1в€‘i=1nyiв€’yВЇ21/2AverageCorrelationcoefficient$$ egin $$The average formula looks fairly simple, but it becomes more and more difficult as n increases.

We can get a sense of the computational intensity of statistics by looking at the average statistical formula and the correlation coefficient statistical formula shown below.

But one problem in studying statistics is that it is a very intense computational discipline. We demonstrate much of our statistical analysis using Excel and double check the analysis and outcomes using MINITAB and SAS вЂ“ also helpful in some analytical methods not possible or practical to do in Excel.ДЄ person studies and uses to learn how to study, analyze, and understand a data set of particular interest. 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. Of those, we look at MINITAB and SAS in this textbook. 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.