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Grade 8 New Year Math STEM Percent Graph Algebra Linear Proportion Function Rate
Grade 8 New Year Math STEM Percent Graph Algebra Linear Proportion Function Rate
Grade 8 New Year Math STEM Percent Graph Algebra Linear Proportion Function Rate
Grade 8 New Year Math STEM Percent Graph Algebra Linear Proportion Function Rate
Grade 8 New Year Math STEM Percent Graph Algebra Linear Proportion Function Rate
Grade 8 New Year Math STEM Percent Graph Algebra Linear Proportion Function Rate
Grade 8 New Year Math STEM Percent Graph Algebra Linear Proportion Function Rate
Grade 8 New Year Math STEM Percent Graph Algebra Linear Proportion Function Rate
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Description

Step into the role of a social media data analyst in this 10-page, black-and-white worksheet pack designed for Grade 8. Students interpret and model real-world influencer analytics from follower growth during New Year countdown posts to viral video views, engagement rates, global audience data, and merchandise revenue.

Each page features 10 aligned math problems, charts or tables to analyze, and career-style reasoning tasks. Students practice percent change, slope, proportional relationships, scatter plots, best-fit lines, and interpretations of linear models — all wrapped in a high-interest digital media storyline.

Perfect for January math instruction, real-world data applications, or STEM-career integration.

What’s Included:

Worksheet 1: Countdown Follower Growth
Skills: Percent increase, linear modeling, graphing relationships
Task: Track follower gains over multiple days and evaluate growth trends

Worksheet 2: Firework Reel View Velocity
Skills: Unit rate, slope interpretation, growth predictions
Task: Analyze a viral video’s views over time and compare speed of growth

Worksheet 3: Live Stream Engagement vs. Time
Skills: Graph interpretation, identifying slope changes, independent/dependent variables
Task: Determine when engagement spikes and evaluate rate of change at different intervals

Worksheet 4: Sponsored Post Revenue
Skills: Multi-step percent problems, CPM and CTR calculations
Task: Connect influencer earnings to impressions and click-through performance

Worksheet 5: Hashtag Trend Predictor
Skills: Scatter plots, line of best fit, correlation strength
Task: Evaluate trending growth and decide whether the hashtag is “going viral”

Worksheet 6: Analytics Dashboard Errors
Skills: Error analysis, proportional reasoning, accuracy checks
Task: Identify incorrect data reporting and explain the correct mathematical reasoning

Worksheet 7: Influencer Merch Sales
Skills: Proportions, percent markdowns, profit margins
Task: Evaluate product pricing strategies and revenue decisions

Worksheet 8: Audience Geography Insights
Skills: Percent of total, data representations, decision-based reasoning
Task: Use follower location data to determine the best marketing strategy

Worksheet 9: Algorithm Boost Strategy
Skills: Function evaluation, interpreting parameters, domain and constraints
Task: Model reach using a provided function that includes positive and negative influences

Worksheet 10: Final Case File – Predict Viral Success
Skills: Integrated data modeling and justified decision-making
Task: Compare three content strategies and choose the most likely to go viral using math-based evidence

How It Helps Students:

• Strengthens fluency with percents, rates, functions, and data representation
• Shows how math drives everyday decision-making in digital media careers
• Develops analytical reading, argument-based reasoning, and data literacy

How It Helps Teachers:

• Zero-prep print-and-assign pages
• Engaging real-world application perfect for January or media-literacy units
• Supports multiple CCSS domains with an authentic STEM context

Solves Key Pain Points:

• Connects algebra and data analysis to a modern, relevant real-world interest
• Reduces student disengagement with consumer-media-based scenarios
• Encourages written justification and evidence-based reasoning

This resource includes typographically styled fractions and exponents, along with auto-formatted elements, designed to expose students to a variety of visual representations. By incorporating both digital and traditional formats, students encounter mathematical expressions in ways they may not often see in standard textbooks. This approach enhances flexible thinking and supports adaptation to various digital tools, platforms, and real-world scenarios. It encourages a deeper conceptual understanding and strengthens students’ confidence with diverse mathematical notations.

If you enjoy this resource, be sure to follow my store to get notified when new products are released!

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

Grade 8 New Year Math STEM Percent Graph Algebra Linear Proportion Function Rate

Little Luminary MATH
93 Followers
$4.60

Highlights

Digital downloads
Grades icon
Grades
8th - 11th
Standards icon
Standards
Pages
10
Answer Key
Included

Save even more with bundles

Launch the new year with high-engagement algebra and real-world problem solving. This Grade 8 New Year Math Mega Bundle includes 10 complete worksheet sets (100 total worksheets), each themed around New Year celebrations, data, STEM engineering challenges, media literacy, and financial decision-maki
Price $41.40Original Price $46.00Save $4.60
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Description

Step into the role of a social media data analyst in this 10-page, black-and-white worksheet pack designed for Grade 8. Students interpret and model real-world influencer analytics from follower growth during New Year countdown posts to viral video views, engagement rates, global audience data, and merchandise revenue.

Each page features 10 aligned math problems, charts or tables to analyze, and career-style reasoning tasks. Students practice percent change, slope, proportional relationships, scatter plots, best-fit lines, and interpretations of linear models — all wrapped in a high-interest digital media storyline.

Perfect for January math instruction, real-world data applications, or STEM-career integration.

What’s Included:

Worksheet 1: Countdown Follower Growth
Skills: Percent increase, linear modeling, graphing relationships
Task: Track follower gains over multiple days and evaluate growth trends

Worksheet 2: Firework Reel View Velocity
Skills: Unit rate, slope interpretation, growth predictions
Task: Analyze a viral video’s views over time and compare speed of growth

Worksheet 3: Live Stream Engagement vs. Time
Skills: Graph interpretation, identifying slope changes, independent/dependent variables
Task: Determine when engagement spikes and evaluate rate of change at different intervals

Worksheet 4: Sponsored Post Revenue
Skills: Multi-step percent problems, CPM and CTR calculations
Task: Connect influencer earnings to impressions and click-through performance

Worksheet 5: Hashtag Trend Predictor
Skills: Scatter plots, line of best fit, correlation strength
Task: Evaluate trending growth and decide whether the hashtag is “going viral”

Worksheet 6: Analytics Dashboard Errors
Skills: Error analysis, proportional reasoning, accuracy checks
Task: Identify incorrect data reporting and explain the correct mathematical reasoning

Worksheet 7: Influencer Merch Sales
Skills: Proportions, percent markdowns, profit margins
Task: Evaluate product pricing strategies and revenue decisions

Worksheet 8: Audience Geography Insights
Skills: Percent of total, data representations, decision-based reasoning
Task: Use follower location data to determine the best marketing strategy

Worksheet 9: Algorithm Boost Strategy
Skills: Function evaluation, interpreting parameters, domain and constraints
Task: Model reach using a provided function that includes positive and negative influences

Worksheet 10: Final Case File – Predict Viral Success
Skills: Integrated data modeling and justified decision-making
Task: Compare three content strategies and choose the most likely to go viral using math-based evidence

How It Helps Students:

• Strengthens fluency with percents, rates, functions, and data representation
• Shows how math drives everyday decision-making in digital media careers
• Develops analytical reading, argument-based reasoning, and data literacy

How It Helps Teachers:

• Zero-prep print-and-assign pages
• Engaging real-world application perfect for January or media-literacy units
• Supports multiple CCSS domains with an authentic STEM context

Solves Key Pain Points:

• Connects algebra and data analysis to a modern, relevant real-world interest
• Reduces student disengagement with consumer-media-based scenarios
• Encourages written justification and evidence-based reasoning

This resource includes typographically styled fractions and exponents, along with auto-formatted elements, designed to expose students to a variety of visual representations. By incorporating both digital and traditional formats, students encounter mathematical expressions in ways they may not often see in standard textbooks. This approach enhances flexible thinking and supports adaptation to various digital tools, platforms, and real-world scenarios. It encourages a deeper conceptual understanding and strengthens students’ confidence with diverse mathematical notations.

If you enjoy this resource, be sure to follow my store to get notified when new products are released!

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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Standards

to see state-specific standards (only available in the US).
Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.
Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team, about twice the variability (mean absolute deviation) on either team; on a dot plot, the separation between the two distributions of heights is noticeable.
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
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