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

Introduction

Overview

By the end of this section you will be able to: Describe the basics of statistical analysis

Designing appropriate studies

• Surveys (observational study)
• Experiments

Collecting quality data

• Selecting a good sample
• Avoiding bias

Creating summaries

• Descriptive statistics
• Catagorical (e.g. Male/female)
• Numerical (actual numbers have meaning - profit)
• Charts and graphs

Determining the distribution type

• Binomial
• Normal
• t-distribution

Analysis

• Margin of error and confidence intervals
• Hypothesis test
• Correlation, regression and two-way tables

Drawing conclusions