IBS ch1

Statistics is the science of learning from data, measuring, controlling, and communicating uncertainty, essential for scientific and societal progress.

Methods include surveys, interviews, observations, and experiments.

Statistics helps policymakers make informed decisions on resource allocation and social welfare by analyzing demographic and economic data.

Secondary data may not perfectly align with the specific research question and researchers must assess the credibility of the data source.

Quantitative data is quick to collect, easier to analyze, and allows for straightforward interpretation of results.

Secondary data can be found in government publications, academic journals, company reports, and online databases.

Qualitative data can be misleading and is not statistically representative, relying heavily on individual interpretation.

They provide a comprehensive understanding; quantitative data offers numerical insights while qualitative data captures context and experiences.

Primary data is highly relevant, allows for greater control over the data collection process, and is tailored to the specific needs of the research question.

Quantitative data is numerical and can be measured, such as age, income, or test scores.

Statistics involves collecting, classifying, summarizing, organizing, analyzing, and interpreting numerical information.

Qualitative data is descriptive, subjective, and focuses on capturing experiences and feelings.