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Data Analysis
Introduction
Research Process
Qualitative Analysis
Quantitative Analysis
What It Is
Issues of Analysis
Types of Data
Statistical Hypothesis Testing
The p-value
Statistical Power
Validity and Reliability
Descriptive or Summary Statistics
Measures of Central Tendency
Measures of Dispersion
Inferential Statistics
Chi-Squared (Difference)
Mann-Whitney (Difference)
Wilcoxon (Difference)
Independent T-Test (Difference)
Paired T-Test (Difference)
Chi-Squared (Association)
Spearman (Association)
Pearson (Association)
Further Reading
Critical Appraisal
Further Resources
Glossary
  Quantitative Analysis - What It Is

This is the process of presenting and interpreting numerical data.

The Results section of papers including quantitative data analysis often contain descriptive statistics and inferential statistics.

Descriptive statistics include measures of central tendency (averages - mean, median and mode) and measures of variability about the average (range and standard deviation). These give the reader a 'picture' of the data collected and used in the research project.

Inferential statistics are the outcomes of statistical tests, helping deductions to be made from the data collected, to test hypotheses set and relating findings to the sample or population.