M215: Applied Statistical Analysis

Course Objective

This course is designed to give experience with the statistical tools that are available in Mathematica. Using real-world and simulated datasets, participants will import data, extract parts of the data based on various criteria, analyze the data, and visualize the results.

Target Audience

The course is designed for people who work with data and wish to improve their skills at using Mathematica for performing statistical analyses of data. Typical attendees include engineers, physicists, analysts in finance, and those in the physical sciences and the life and medical sciences.

Delivery Type

Courses are delivered as instructor-led classes in computer classroom facilities. Course topics are presented with alternating sessions of lectures and exercises. Additional online training information is available. All classes feature low student-teacher ratios.

Syllabus

  • Computing basic descriptive statistics of data (mean, median, variance, etc.)
  • Visualizing statistical data, including box plots, scatter plots, and histograms
  • Computing and visualizing properties of continuous and discrete distributions, such as mean, PDF, CDF, expectations, and quantiles
  • Random number generation from continuous and discrete distributions
  • Hypothesis testing (including t-tests, z-tests, and chi-squared tests) and confidence intervals
  • Linear and nonlinear regression
  • Fitting generalized linear models
  • Obtaining and visualizing regression diagnostics
  • Data transformations
  • Models with nominal variables
  • Analysis of variance (ANOVA)
  • Robust regression via iterative reweighting
  • Maximum likelihood estimation
  • Curve fitting via ordinary least squares, alternative metrics, and merit functions

Course Materials

Each attendee will be provided with Mathematica course notebooks and access to the current version of Mathematica. The course notebooks require Mathematica or Mathematica Player. Course materials are distributed in print and on CD-ROM, and are yours to keep; a computer running Mathematica is available for your use during class. A temporary Mathematica training license is provided upon request.

Prerequisites

Course attendees are expected to have basic familiarity with Mathematica. Attendees should also have basic knowledge of descriptive statistics, mathematical statistics (to a lesser extent), hypothesis testing, ANOVA, and regression.

dates

15 April 2010, 10.00-17.00
30 September 2010, 10.00-17.00

price

EURO 495

by

Dr. Rolf Mertig

Dr. Rolf Mertig is a long term (web)Mathematica programmer, trainer, consultant and a Wolfram Education Group certified instructor.

All Mathematica 7 events:
14 September 2010 Introduction to Mathematica 10.00-17.00 subscribe
21 September 2010 Programming with Mathematica 10.00-17.00 subscribe
27 September 2010 M225: Parallel Computing with Mathematica 10.00-15.00 subscribe
28 September 2010 M205: Visualization in Mathematica 10.00-17.00 subscribe
30 September 2010 M215: Applied Statistical Analysis 10.00-17.00 subscribe
1 October 2010 M235: Mathematica Development using Wolfram Workbench 10.00-15.00 subscribe
5 October 2010 Dynamic Interactivity with Mathematica 10.00-17.00 subscribe
16 November 2010 Introduction to Mathematica 10.00-17.00 subscribe
14 December 2010 Programming with Mathematica 10.00-17.00 subscribe