Statistics Overview
Jennifer Shanley
BUS 308-Statistics for Managers
Professor Wells
November 1, 2014
Statistics Overview
Statistics provides us with very useful tools and techniques that aide us in dealing with real world scenarios. I have been able to learn several useful concepts by studying statistics that can aide me in making rational and informed decisions that are supported by the analysis results. Statistics as a discipline is the application and development of various processes put in place to gather, interpret, and analyse the information. The quantification of biological, social, and scientific phenomenons, design and analysis of experiments and surveys, and application of the statistical principles are all statistical procedures that are more advanced in nature. Even though the data can be applied to several areas of the human aspiration to implement the theory and methods of modern statistics to various different fields. Many useful elements were included in this course like descriptive statistics, inferential statistics, hypothesis development and testing, selecting appropriate statistical tests and evaluating the statistical results; which aides me to make better decisions in my personal and professional life. The intention of this paper is to be able to review each of these individual elements that we studied throughout this course.
Descriptive Statistics:
Descriptive statistics are typically utilized for describing the general features of the information received from a study. The results provide a brief summary of sample and measures. This type of statistics along with a simple graphic aid, creates the basis for nearly all quantitative data analysis. It is also used for presenting quantitative descriptions of data in a comprehensive and manageable form (Schlaifer, 1982). In a research study, there is a possibility of several different measures or it can be a scenario where we are able to
References: Fraser, D. A. S. (1956). Nonparametric methods in statistics. Leach, C. (1979). Introduction to statistics: A nonparametric approach for the social sciences. New York: Wiley. Schlaifer, R. (1982). Introduction to statistics for business decisions. RE Krieger Publishing Company. Trochim. (2006). Inferential Statistics. Retrieved September 28, 2014, from http://www.socialresearchmethods.net/kb/statinf.php Walpole, R. E. (1974). Introduction to statistics (p. 340). New York: Macmillan.