VirtualMV/Research in IT/Data Collection & Analysis/Statistics

Overview
Designing appropriate studies

Collecting quality data Creating summaries Determining the distribution type Analysis Drawing conclusions
 * Surveys (observational study)
 * Experiments
 * Selecting a good sample
 * Avoiding bias
 * Descriptive statistics
 * Catagorical (e.g. Male/female)
 * Numerical (actual numbers have meaning - profit)
 * Charts and graphs
 * Binomial
 * Normal
 * t-distribution
 * Margin of error and confidence intervals
 * Hypothesis test
 * Correlation, regression and two-way tables