Algebra 1 · Statistics
Virginia SOL A.ST.1
Virginia SOL A.ST.1 is part of the Statistics strand in Algebra 1 (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 and quadratic functions. Below is what A.ST.1 covers in plain language, the specific skills it is assessed on, the key concepts to review, and how to practice A.ST.1 for the Virginia SOL test.
What SOL A.ST.1 means
Apply the data cycle to represent bivariate data in scatterplots and determine the curve of best fit using linear and quadratic functions.
Practice Algebra 1 SOL questions
Free Algebra 1 questions from official Virginia Department of Education released SOL tests — good practice while you work on A.ST.1 and the rest of the course. Pick an answer to check it instantly, or open “Show answer” to review.
1. A table shows brochure orders: 100 → 49, 500 → 45, 1000 → 40, 2000 → 30 (prices in cents). Which equation best represents this relationship?
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Answer: A — (P=-(1)/(100)n+50)
2. Distance varies directly with time. If 240 miles are traveled in 8 hours, what is the constant speed?
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Answer: H — 30 mph
3. If the mean of 12 numbers is 13, what is the sum of the numbers?
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Answer: C — 156
4. Phone call times (minutes): 9, 15, 5, 7, 9, 12, 11, 4. Which statement is true?
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Answer: F — The mode is greater than 7.
Skills you’ll practice for A.ST.1
- Formulate investigative questions that require the collection or acquisition of bivariate data.
- Determine what variables could be used to explain a given contextual problem or situation or answer investigative questions.
- Determine an appropriate method to collect a representative sample, which could include a simple random sample, to answer an investigative question.
- Given a table of ordered pairs or a scatterplot representing no more than 30 data points, use technology to determine whether a linear or quadratic function represents the relationship and find the equation of the curve of best fit.
- Use linear and quadratic regression methods to write a function representing the data and describe the strengths and weaknesses of the model.
- Use a linear model to predict outcomes and evaluate the strength and validity of these predictions using technology.
- Investigate and explain the meaning of the rate of change (slope) and y-intercept (constant term) of a linear model in context.
- Analyze relationships between two quantitative variables revealed in a scatterplot.
- Make conclusions based on the analysis of a set of bivariate data and communicate the results.
Key concepts covered by A.ST.1
- formulate questions
- investigative questions
- bivariate data
- determine variables
- contextual problems
- collect data
- representative sample
- simple random sample
- scatterplot analysis
- curve of best fit
- linear regression
- quadratic regression
- technology use
- model strengths
- model weaknesses
- linear model prediction
- outcome prediction
- model validation
- rate of change
- slope
- y-intercept
- linear model interpretation
- quantitative variables
- relationship analysis
- data analysis
- conclusions
- communication of results
How to study and practice SOL A.ST.1
Start with a quick diagnostic to see whether A.ST.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.
Frequently asked questions about SOL A.ST.1
What is Virginia SOL A.ST.1?
SOL A.ST.1 is a Algebra 1 Standard of Learning in the Statistics strand. It expects students to apply the data cycle to represent bivariate data in scatterplots and determine the curve of best fit using linear and quadratic functions.
What skills does SOL A.ST.1 cover?
SOL A.ST.1 is assessed on 9 skills: formulate investigative questions that require the collection or acquisition of bivariate data; determine what variables could be used to explain a given contextual problem or situation or answer investigative questions; determine an appropriate method to collect a representative sample, which could include a simple random sample, to answer an investigative question; given a table of ordered pairs or a scatterplot representing no more than 30 data points, use technology to determine whether a linear or quadratic function represents the relationship and find the equation of the curve of best fit; use linear and quadratic regression methods to write a function representing the data and describe the strengths and weaknesses of the model; use a linear model to predict outcomes and evaluate the strength and validity of these predictions using technology; investigate and explain the meaning of the rate of change (slope) and y-intercept (constant term) of a linear model in context; analyze relationships between two quantitative variables revealed in a scatterplot; make conclusions based on the analysis of a set of bivariate data and communicate the results.
What strand of Algebra 1 is SOL A.ST.1 in?
SOL A.ST.1 belongs to the Statistics reporting strand of the Algebra 1 Virginia Standards of Learning.
How do I study and practice for SOL A.ST.1?
Start with a diagnostic to see whether A.ST.1 is already solid, then work the 9 skills above with guided notes, flashcards, and SOL-style practice questions. For official released items, see the Virginia SOL practice tests guide.