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Data and Stocks Unit Project Based Learning
Data and Stocks Unit Project Based Learning
Data and Stocks Unit Project Based Learning
Data and Stocks Unit Project Based Learning
Data and Stocks Unit Project Based Learning
Data and Stocks Unit Project Based Learning
Data and Stocks Unit Project Based Learning
Data and Stocks Unit Project Based Learning
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Description

A 1-2 week long data unit to introduce the stock market to students through a project based learning unit. Students will be asked to create lines to fit to a stock of their choice by tracking it's data and researching current business news. Throughout the unit if need be may need to supplement with procedural practice problems, or reviewing students data plots to discuses various trends through a presentation at the end of the unit for an assessment to describe data. My students really enjoyed tracking their stocks and learning about the companies they liked. Please leave a review of ideas or errors as it's my first PBL project.

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Data and Stocks Unit Project Based Learning

Alijah Tapia
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$3.99

Highlights

Digital downloads
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Grades
8th - 10th
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Standards

Description

A 1-2 week long data unit to introduce the stock market to students through a project based learning unit. Students will be asked to create lines to fit to a stock of their choice by tracking it's data and researching current business news. Throughout the unit if need be may need to supplement with procedural practice problems, or reviewing students data plots to discuses various trends through a presentation at the end of the unit for an assessment to describe data. My students really enjoyed tracking their stocks and learning about the companies they liked. Please leave a review of ideas or errors as it's my first PBL project.

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).
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.
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.
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