Algebra Functions Data Analysis · Data Analysis
Virginia SOL AFDA.DA.2
Virginia SOL AFDA.DA.2 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 design and implement an experiment and/or observational study. Below is what AFDA.DA.2 covers in plain language, the specific skills it is assessed on, the key concepts to review, and how to practice AFDA.DA.2 for the Virginia SOL test.
What SOL AFDA.DA.2 means
Apply the data cycle to design and implement an experiment and/or observational study.
Skills you’ll practice for AFDA.DA.2
- Formulate questions that can be addressed with data and assess the type of data relevant to the question (e.g., quantitative versus categorical).
- Investigate, describe, and determine best sampling techniques, such as simple random sampling, stratified sampling, and cluster sampling.
- Plan and conduct an experiment and/or observational study addressing control, randomization, and minimization of experimental error.
- Collect or acquire data to answer a statistical question.
- Recognize that data may contain errors, have missing values, or may be biased, and make decisions about how to account for these issues.
- Identify biased sampling methods.
- Given a plan for an observational study, identify possible sources of bias and describe ways to reduce bias.
- Select, create, and use appropriate visual representations of data to brainstorm solutions.
- Use appropriate statistical methods to analyze data.
- Communicate the description of an experiment and/or observational study, the resulting data, analysis, and the validity of the conclusions.
Key concepts covered by AFDA.DA.2
- data formulation
- quantitative data
- categorical data
- question assessment
- sampling techniques
- simple random sampling
- stratified sampling
- cluster sampling
- experimental design
- control
- randomization
- experimental error
- observational study
- data collection
- statistical questions
- data acquisition
- data errors
- missing data
- biased data
- data quality assessment
- biased sampling
- sampling bias
- sampling methods
- observational study bias
- bias reduction
- study design
- data visualization
- visual representations
- brainstorming solutions
- statistical analysis
- data analysis methods
- statistical techniques
- study communication
- data communication
- analysis communication
- conclusion validity
How to study and practice SOL AFDA.DA.2
Start with a quick diagnostic to see whether AFDA.DA.2 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.1 — Apply the data cycle to represent bivariate data in scatterplots and determine the curve of best fit using linear, quadratic, and exponential functions.
- 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.2
What is Virginia SOL AFDA.DA.2?
SOL AFDA.DA.2 is a Algebra Functions Data Analysis Standard of Learning in the Data Analysis strand. It expects students to apply the data cycle to design and implement an experiment and/or observational study.
What skills does SOL AFDA.DA.2 cover?
SOL AFDA.DA.2 is assessed on 10 skills: formulate questions that can be addressed with data and assess the type of data relevant to the question (e.g., quantitative versus categorical); investigate, describe, and determine best sampling techniques, such as simple random sampling, stratified sampling, and cluster sampling; plan and conduct an experiment and/or observational study addressing control, randomization, and minimization of experimental error; collect or acquire data to answer a statistical question; recognize that data may contain errors, have missing values, or may be biased, and make decisions about how to account for these issues; identify biased sampling methods; given a plan for an observational study, identify possible sources of bias and describe ways to reduce bias; select, create, and use appropriate visual representations of data to brainstorm solutions; use appropriate statistical methods to analyze data; communicate the description of an experiment and/or observational study, the resulting data, analysis, and the validity of the conclusions.
What strand of Algebra Functions Data Analysis is SOL AFDA.DA.2 in?
SOL AFDA.DA.2 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.2?
Start with a diagnostic to see whether AFDA.DA.2 is already solid, then work the 10 skills above with guided notes, flashcards, and SOL-style practice questions. For official released items, see the Virginia SOL practice tests guide.