Bundle: Algebra 1 Statistics Unit Curriculum (Common Core)

UPDATE: Now includes lesson slides and editable worksheets for Google™ Slides and unit exam in Google™ Forms!

Algebra I Statistics Unit Bundle

This product is a bundle that includes 10 Common Core Aligned lessons, 4 statistics vocabulary lists (1 master list for the whole unit, and 3 smaller unit “sub lists”), 1 mid-unit integrated mini-review and worksheet (as homework or a quiz!), and 1 exam with answer key. Each lesson includes lecture slides with speaker notes, a handout, worksheet with answer key and rubric, and links to products for use with Google™. A suggested schedule is included. The lessons and vocabulary lists can be purchased a la carte, and the mini-review is available for free. The exam is multiple choice for enhanced grading objectivity and emphasizes statistical reasoning over rote computation.

Bundle Bonuses:

We’re offering the bundle at more than a 25% discount off of the a la carte price!

The exam is only available as part of this bundle or Bundle: Algebra 1 Statistics Unit Lessons & Activities.

Statistics Unit materials cover the following topics:

Dot plots, histograms, median and interquartile range, mean and standard deviation, boxplots and 5-number summary, comparing different datasets, shapes of distributions (symmetric, left skewed, right skewed), outliers, two-way frequency tables of categorical variables, relative frequency, conditional relative frequency, scatterplots, functional relationships between two quantitative variables (linear, quadratic, exponential), correlation coefficient, interpretation of linear models, residuals, fitting linear models with technology

Common Core Standards:

HSS.ID.A.1: Represent data with plots on the real number line (dot plots, histograms, box plots).

HSS.ID.A.2: use statistics appropriate to the shape of the data distribution to compare center. (median, mean) and spread (interquartile range, standard deviation) of two or more different datasets.

HSS.ID.A.3: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

HSS.ID.B.5: Summarize, represent, and interpret data on two categorical variables in two-way frequency tables; interpret frequencies; and recognize possible associations and trends in the data.

HSS.ID.B.6: Represent two quantitative variables on a scatterplot and describe how the variables are related.

HSS.ID.B.6.A: Fit a function to the data; use functions fitted to data to solve problems in the context of data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.

HSS.ID.B.6.B: Informally assess the fit of a function by plotting and analyzing residuals.

HSS.ID.B.6.C: Fit a linear function for a scatterplot that suggests a linear association.

HSS.ID.C.7: Interpret the slope (rate of change) and intercept (constant term) of a linear model in the context of data.

HSS.ID.C.8: Compute (using technology) and interpret the correlation coefficient of a linear fit.

HSS.ID.C.9: Distinguish between correlation and causation.

About this product:

The materials in this product have been compressed into a *.zip file. Materials for each lesson are located in separate folders. Software to unzip the file is necessary to use these materials Software for reading PDF(*.pdf) or PowerPoint (*.pptx) documents is needed to use the respective file types. Links to the products in Google™ Slides and Google™ Forms are in PDF. A Google™ account is needed to access products made for use with Google™.

This purchase is to be used by one teacher only for classroom use. These materials may not be shared without purchasing the appropriate number of licenses. With the exception of remote learning, these materials may not be uploaded to the internet in any form (classroom websites, personal websites, or network drives, etc.).

The data and plots were simulated and created, respectively, using R Statistical Software, a free open-source software for statistical computing. Please let me know if you are interested in educational products on using R for the Common Core.

Prefer to purchase lessons or vocabulary lists a la carte? Each resource can be found here:

Look at your Data!: Dot Plots (Common Core Aligned Lesson)

Look at your Data!: Histograms (Common Core Aligned Lesson)

Compare Populations: Median and Interquartile Range (Common Core Aligned Lesson)

Compare Populations: Mean and Standard Deviation (Common Core Aligned Lesson)

Look at your Data!: Boxplots (Common Core Aligned Lesson)

Shapes of Distributions (Common Core Aligned Lesson)

Plots, Shapes, and Statistics (Common Core Aligned Integrated Review—Free!)

Associations between Two Categorical Variables: Frequency & Relative Frequency (Common Core Aligned Lesson)

Associations between Two Categorical Variables II: Conditional Relative Frequency (Common Core Aligned Lesson)

Relationships between Two Quantitative Variables: Scatterplots, Correlation & Functions (Common Core Aligned Lesson)

Relationships between Two Quantitative Variables II: Linear Models, Correlation, & Residuals (Common Core Aligned Lesson)

Statistics Vocabulary Lists (Common Core Aligned Resource)

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Disclaimer:

The National Governors Association Center for Best Practices and Council of Chief State School Officers are the sole owners and developers of the Common Core State Standards. © Copyright 2010. National Governors Association Center for Best Practices and Council of Chief State School Officers. All rights reserved.

This product is the work of Statistics Education Resources. Claims of alignment with the Common Core State Standards are the personal opinion of Statistics Education Resources and do not necessarily reflect the official views of the National Governors Association Center for Best Practices and Council of Chief State School Officers. No association with or endorsement by the National Governors Association Center for Best Practices and Council of Chief State School Officers is intended or implied.