Statistical analysis organizes and aids in interpreting raw information. Through statistics, researchers can determine whether their hypotheses are supported or not. Analyzing data from research provides a scientific basis for conclusions, summaries, reports and studies.
In research, a hypothesis may be supported, unsupported or disconfirmed. The application of statistical analysis can reveal any "significant difference" in data of experimental versus control groups. Researchers use this information to draw conclusions, generalize results or make recommendations for future research.
According to "Research in Education," faulty measurements, poor controls, unintentional biases and other errors cause researchers to reach unfounded or weak conclusions: "The conclusions derived from statistical analysis will be no more accurate or valid than the original data."
People may have varied interpretations of the same information or events. In scientific research and data analysis, researchers must minimize bias when interpreting data. Similarly, critical readers should search for potential bias or flaws when reading reports and summaries.