Supporting Statement Part B

_{B. COLLECTION OF INFORMATION EMPLOYING STATISTICAL METHODS}

Statistical analysis refers to a variety of methods used to collect data, describe data, explore and understand new patterns and relationships in data, test hypotheses, make inferences about a population, and predict future behavior based on sample datasets.

Illustrative Scenario

Process data collected.

Use Case

Using tools, TTP collaborates with HFPP partners to: quickly explore data sets, identify

missing or anomalous data, prepare data for analysis, and produce statistically significant findings that are relevant to business needs.

Technical Aspects

_{ Design of experiments}

 Forecasting, regression analysis, and time series analysis

 Factor analysis, principal component analysis, and structural equations modeling

 Classification, discriminate analysis, and clustering

 Sensitivity/uncertainty Analysis

 Common methods include time series analysis, regression and ANOVA providing a mathematical representation for exploration and prediction, sampling methods, and hypothesis testing.

Example Tools

SAS, R, SPSS, Strata