Data Analysis and Bivariate Statistics

Essential Question:

How can bivariate statistical analysis help us understand and interpret relationships between two variables in real-world contexts?

Portrait of a Graduate:

Critical Thinking: Apply statistical analysis to investigate relationships between variables and solve real-world problems.

Communication: Clearly articulate findings from bivariate data analysis both verbally and through visual representations.

Global Citizenship: Understand the importance of informed decision-making based on statistical evidence in addressing global challenges.

Inquiry Question:

How do we represent and analyze the relationship between two variables using scatter plots and correlation coefficients?

2. Inquiry Question:

What methods can we use to determine the line of best fit, and how does it help in making predictions?

3. Inquiry Question:

How can analyzing bivariate data inform decision-making in fields such as science, economics, and public health?

Student Outcomes:

Students will create scatter plots and calculate correlation coefficients to analyze relationships between two variables.

2. Student Outcomes:

Students will determine and interpret the line of best fit for bivariate data sets, understanding its implications for prediction and analysis.

3. Student Outcomes:

Students will apply knowledge of bivariate statistics to analyze real-world scenarios, demonstrating the ability to make informed decisions based on data.

Standards:

S-ID.6: Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

S-ID.6a: Fit a function to the data; use functions fitted to data to solve problems in the context of the data.

S-ID.6c: Compute (using technology) and interpret the correlation coefficient of a linear fit.

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