---
title: "AFA.DSR.7: Financial Data Analysis (Georgia Mathematics standard)"
code: AFA.DSR.7
cite_as: Georgia Standards of Excellence, Mathematics, AFA.DSR.7
subject: math
grades:
  - high-school
language: en
canonical_url: https://georgiahomeroom.org/standards/code/AFA.DSR.7
md_url: https://georgiahomeroom.org/standards/code/AFA.DSR.7.md
alternate_language_url: https://georgiahomeroom.org/es/standards/code/AFA.DSR.7.md
source_url: https://case.georgiastandards.org/ims/case/v1p1/CFDocuments/e9dd7229-3558-4df2-85c6-57b8938f6180
source_last_changed: 2024-10-09
data_built: 2026-09-18
publisher: Georgia Homeroom, a free public-interest project of Georgia Civic Data. Not affiliated with or endorsed by the Georgia Department of Education or any school district.
up: https://georgiahomeroom.org/standards/math/high-school.md
index: https://georgiahomeroom.org/standards/index.md
---

# AFA.DSR.7: Financial Data Analysis

Collect, analyze, interpret, summarize, and construct displays of data to make predictions within real-world applications.

- Subject: Mathematics
- Appears in: High School, https://georgiahomeroom.org/standards/math/high-school.md

## Expectations

- **AFA.DSR.7.1**: Interpret measures of central tendency (mean, median, mode) and spread (range, interquartile range, variance, standard deviation) to analyze contextualized data sets.
- **AFA.DSR.7.2**: Construct and interpret common data displays (bar graphs, line graphs, stock bar charts, candlestick charts, box and whisker plots, stem and leaf plots, and circle graphs) to recognize and interpret trends.
- **AFA.DSR.7.3**: Construct and interpret scatterplots to recognize and interpret trends.
- **AFA.DSR.7.4**: Use technology to find, interpret, and graph linear, quadratic, and exponential regression equations to make predictions about the corresponding context.
- **AFA.DSR.7.5**: Use technology to determine the correlation coefficient of linear, quadratic, and exponential regression curves.
- **AFA.DSR.7.6**: Distinguish between causation and correlation for bivariate data.
- **AFA.DSR.7.7**: Create and analyze discrete probability distributions.
- **AFA.DSR.7.8**: Apply the Arithmetic Average Formula to calculate and interpret a d-day simple moving average given a set of n data points, $p_1$, $p_2$, $p_3$, ..., $p_{n -1}$, $p_n$.

## Georgia Milestones coverage

No Georgia Milestones blueprint cites this standard.

Source: Georgia Standards of Excellence, published by the Georgia Department of Education at case.georgiastandards.org.