Course: H.S. Quantitative Reasoning

 

QR.S.2

Identify limitations, strengths, or lack of information in studies, including data collection methods (e.g. sampling, experimental, observational) and possible sources of bias, and identify errors or misuses of statistics to justify particular conclusions.

I Can Statements Academic Vocabulary

*I can identify limitations, strengths, or lack of information in studies.

*I can identify limitations, strengths, or lack of information in data collection methods.

*I can identify possible sources of bias in studies.

*I can identify errors in misuses of statistics to justify conclusions.

Sampling data collection
Experimental data collection
Observational data collection
Bias

Looking Back Looking Ahead

*Make inferences and justify conclusions from sample surveys, experiments, and observational studies. Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each. (MA.AII.DSP.1)

*This course is a 4th year course in the Indiana sequence. The concepts and skills within the course extend to multiple post-secondary pathways and applications.

Clarifying Examples and Digital Resources
Click here for clarifying examples and digital resources aligned to Indiana standards. These are intended to expand each standard to support instruction in the classroom as evidenced by the Eight Mathematics Teaching Practices put forth by the National Council of Teachers of Mathematics (NCTM).