Statistics school training courses in Boston, MA (public, in-house or online)

This course is an introduction to statistical methods used in biological and medical research. Elementary probability theory, basic concepts of statistical inference, regression and correlation methods, analysis of variance, and study design are covered. Emphasis on applications to medical problems.

You Will Learn How To

Fully support your business decisions through proven statistical techniques
Manage contingencies and risks to enhance your business strategies
Optimize your decisions by applying measurements and tests to your data
Leverage survey techniques to effectively evaluate data
Prepare your organization for future trend fluctuations through statistical forecasting methods
Present information with precision and clarity

Course Benefits

In tod...

Full archival course description>>

This course studies the collection, analysis and presentation of data, frequency distributions, probability and probability distributions. Making inferences from statistical data and the techniques used for making business and management decisions will be discussed. Data analysis and presentation make use of statistical software.

Applied Managerial Statistics stresses the practical use of statistics in collecting, organizing, analyzing, interpreting, and presenting data. Areas covered include descriptive statistics, inferential statistics, regression analysis, and time series analysis. Attention is devoted to the use of statistical thinking in improving the managerial decision making process.

This course introduces statistical concepts and analytical methods as applied to data encountered in biotechnology and biomedical sciences. It emphasizes the basic concepts of experimental design, quantitative analysis of data, and statistical inferences. Topics include probability theory and distributions; population parameters and their sample estimates; descriptive statistics for central tendency and dispersion; hypothesis testing and confidence intervals for means, variances, and proportions...

Full archival course description>>