SSRM.SS.4.E

Define and compute statistical information using various statistical approaches such as means testing and correlation, measures of central tendency and distribution, the development of categorical systems, and logical analysis.

Social Studies Research Methods · Texas Essential Knowledge and Skills (TEKS) · TEKS 2010

Standard Unwrapping

AI-generated as a starting point — sign in to edit.
Vocabulary
statistical informationstatistical approachesmeans testingcorrelationmeasures of central tendencydistributiondevelopment of categorical systemslogical analysis
Skills
  • define (statistical terms and concepts) #dok1
  • compute (statistical measures such as means, correlation, measures of central tendency, etc.) #dok2
  • apply (categorical systems and logical analysis to statistical data) #dok3
  • select (appropriate statistical approaches given a research scenario) #dok2
  • analyze (results produced from various statistical approaches) #dok3
Learning Targets
  • I can define statistical terms such as means, correlation, central tendency, and distribution. #dok1
  • I can identify the correct statistical approach needed for a given set of data. #dok1
  • I can compute means and correlations using data sets. #dok2
  • I can compute measures of central tendency and distribution using sample data. #dok2
  • I can select and apply a categorical system to organize data. #dok2
  • I can apply logical analysis to interpret statistical results. #dok3
  • I can analyze statistical data using means testing, correlation, and measures of central tendency to draw conclusions. #dok3
Big Ideas
  • Statistical analysis is essential for drawing meaningful conclusions from quantitative data in social science research.
  • Selecting and applying the appropriate statistical approach enhances the validity and reliability of research findings.
Essential Questions
  • How do different statistical approaches help us understand research data?
  • When is it appropriate to use measures of central tendency or correlation in analyzing data?
  • What are the steps involved in computing and interpreting statistical information?
  • How can developing a categorical system improve the analysis of research data?
  • Why is logical analysis important when working with statistical information?