Contact Details
Telephone
650.804.2884
Electronic mail
Fax
206.282.7930
Mailing Address
2117 W. Ruffner St.
Seattle, WA 98199
USA
Projects
Our specialty is working with clients to design and execute a statistical analytical approach to meet their project goals in the most efficient way possible. Here are some of the projects and kinds of questions we have handled for our clients:
- Business Analytics
- Evaluation and Metrics
- Investment analysis
- Product and Manufacturing reliability
- Biostatistics
- Risk management and fraud detection
- Injury and Damages Assessment
- Survey and Sample Size Analysis
We also offer seminars specializing in using statistics as a tool for decision making.
Survey and Sample Size analysis
For many statistical applications, you cannot look at every single case because of the expense and logistical problems involved. You need to select a representative sample of the whole. There are correct ways of doing it, and a lot of common mistakes people make.
The correct sample size is necessary when you are collecting data to test particular hypotheses, or when you are sampling data from a large data store if analysis time and money are factors to minimize. The sample size calculation depends on the type of statistical tests that will be performed. We can help you devise these tests, or offer them to you in easy to use Excel workbooks.
Case Study
An online realty company had created a prediction model for the sale prices of its properties. Their impression was they had developed a great model based on tens of thousands of data points. The model, having performed well on older data, was not nearly as accurate on more recent data.
A power analysis (akin to sample size analysis) at the outset would have shown that the sample was actually too small for the highly detailed model they were intending to build, increasing the variability of the model's predictions. This knowledge would have reshaped the model development process by either building a model that would have been statistically reliable with the available data, or encouraged obtaining more data.