Managerial Statistics 1

1.5 Credits · Level: Graduate, Undergraduate

Did you ever notice that no matter where you stand on popular issues of the day, you can always find statistics or surveys to back up your point of view? There is an endless flow of information to help you make decisions, but is this information accurate, unbiased? Statistics means "numerical descriptions" to most people. Monthly unemployment figures, the failure rate of a new business, and the proportion of female executives in a particular industry all represent statistical descriptions of large sets of data whose characteristics we wish to estimate. The applications of statistics can be divided into two broad areas: descriptive statistics and inferential statistics. Statistical methods are particularly useful for studying, analyzing, and learning about populations of experimental units. In this course, you will learn data management and wrangling, summary measures, probability and probability distribution, and statistical inference. This course is based exclusively on R. R is open source and a powerful software that merges the convenience of statistical packages with the power of coding.