Algebra Functions Data Analysis · Data Analysis
Virginia SOL AFDA.DA.1
Virginia SOL AFDA.DA.1 is part of the Data Analysis strand in Algebra Functions Data Analysis (Math). Under this Standards of Learning objective, students apply the data cycle to represent bivariate data in scatterplots and determine the curve of best fit using linear, quadratic, and exponential functions. Below is what AFDA.DA.1 covers in plain language, the specific skills it is assessed on, the key concepts to review, and how to practice AFDA.DA.1 for the Virginia SOL test.
What SOL AFDA.DA.1 means
Apply the data cycle to represent bivariate data in scatterplots and determine the curve of best fit using linear, quadratic, and exponential functions.
Skills you’ll practice for AFDA.DA.1
- Formulate investigative questions that require the collection or acquisition of bivariate data, where exactly two of the variables are quantitative.
- Collect or acquire bivariate data from a representative sample to answer an investigative question.
- Represent bivariate data with a scatterplot using technology and describe how the variables are related in context.
- Make predictions, decisions, and critical judgments using data, scatterplots, or the equation(s) of the mathematical model.
Key concepts covered by AFDA.DA.1
- investigative questions
- bivariate data
- quantitative variables
- data formulation
- data collection
- representative sample
- data acquisition
- scatterplot
- variable relationships
- contextual description
- technology use
- data-based predictions
- scatterplot analysis
- mathematical modeling
- critical judgments
How to study and practice SOL AFDA.DA.1
Start with a quick diagnostic to see whether AFDA.DA.1 is already solid, then work each skill above with guided notes, flashcards, and SOL-style practice questions. For official released items, see our Virginia SOL practice tests guide and how to study for the SOL test.
Related Algebra Functions Data Analysis standards in Data Analysis
- AFDA.DA.2 — Apply the data cycle to design and implement an experiment and/or observational study.
- AFDA.DA.3 — Calculate and interpret probabilities, including those in contextual situations.
- AFDA.DA.4 — Describe and apply the properties of normal distribution, including those in contextual situations.
Frequently asked questions about SOL AFDA.DA.1
What is Virginia SOL AFDA.DA.1?
SOL AFDA.DA.1 is a Algebra Functions Data Analysis Standard of Learning in the Data Analysis strand. It expects students to apply the data cycle to represent bivariate data in scatterplots and determine the curve of best fit using linear, quadratic, and exponential functions.
What skills does SOL AFDA.DA.1 cover?
SOL AFDA.DA.1 is assessed on 4 skills: formulate investigative questions that require the collection or acquisition of bivariate data, where exactly two of the variables are quantitative; collect or acquire bivariate data from a representative sample to answer an investigative question; represent bivariate data with a scatterplot using technology and describe how the variables are related in context; make predictions, decisions, and critical judgments using data, scatterplots, or the equation(s) of the mathematical model.
What strand of Algebra Functions Data Analysis is SOL AFDA.DA.1 in?
SOL AFDA.DA.1 belongs to the Data Analysis reporting strand of the Algebra Functions Data Analysis Virginia Standards of Learning.
How do I study and practice for SOL AFDA.DA.1?
Start with a diagnostic to see whether AFDA.DA.1 is already solid, then work the 4 skills above with guided notes, flashcards, and SOL-style practice questions. For official released items, see the Virginia SOL practice tests guide.