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Bootstrap lessons align with several important teaching standards, textbooks, and practices. Select from the following menu to see which lessons meet those alignments.

Common Core Math Standards

6.EE.B.6

Use variables to represent numbers and write expressions when solving a real-world or mathematical problem; understand that a variable can represent an unknown number, or, depending on the purpose at hand, any number in a specified set. [See: Grouped Samples.]

8.SP.A.1

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. [See: Grouped Samples.]

HSS.IC.B.3

Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each. [See: Randomness and Sample Size.]

CSTA Standards

1B-AP-10

Create programs that include sequences, events, loops, and conditionals. [See: Method Chaining.]

2-AP-11

Create clearly named variables that represent different data types and perform operations on their values. [See: Grouped Samples.]

2-AP-13

Decompose problems and subproblems into parts to facilitate the design, implementation, and review of programs [See: Method Chaining.]

2-AP-17

Systematically test and refine programs using a range of test cases [See: Method Chaining.]

2-DA-08

Collect data using computational tools and transform the data to make it more useful and reliable. [See: Randomness and Sample Size; Grouped Samples.]

2-DA-09

Refine computational models based on the data they have generated. [See: Randomness and Sample Size; Grouped Samples.]

3A-AP-17

Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects. [See: Method Chaining.]

3A-AP-18

Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs. [See: Method Chaining.]

K-12CS Standards

6-8.Algorithms and Programming.Control

Programmers select and combine control structures, such as loops, event handlers, and conditionals, to create more complex program behavior. [See: Method Chaining.]

9-12.Algorithms and Programming.Control

Programmers consider tradeoffs related to implementation, readability, and program performance when selecting and combining control structures. [See: Method Chaining.]

9-12.Algorithms and Programming.Modularity

Complex programs are designed as systems of interacting modules, each with a specific role, coordinating for a common overall purpose. These modules can be procedures within a program; combinations of data and procedures; or independent, but interrelated, programs. Modules allow for better management of complex tasks. [See: Method Chaining.]

Oklahoma Standards

OK.6.D.1.3

Create and analyze box and whisker plots observing how each segment contains one quarter of the data. [See: Grouped Samples.]

OK.7.AP.M.01

Decompose problems into parts to facilitate the design, implementation, and review of increasingly complex programs. [See: Method Chaining.]

OK.7.D.1.2

Use reasoning with proportions to display and interpret data in circle graphs (pie charts) and histograms. Choose the appropriate data display and know how to create the display using a spreadsheet or other graphing technology. [See: Grouped Samples.]

OK.8.AP.M.01

Decompose problems and subproblems into parts to facilitate the design, implementation, and review of complex programs. [See: Method Chaining.]

OK.8.DA.CVT.01

Develop, implement, and refine a process that utilizes computational tools to collect and transform data to make it more useful and reliable. [See: Grouped Samples.]

OK.8.DA.S.01

Analyze multiple methods of representing data and choose the most appropriate method for representing data. [See: Grouped Samples.]

OK.A1.D.1.1

Describe a data set using data displays, describe and compare data sets using summary statistics, including measures of central tendency, location, and spread. Know how to use calculators, spreadsheets, or other appropriate technology to display data and calculate summary statistics. [See: Grouped Samples.]

OK.A1.D.2.1

Select and apply counting procedures, such as the multiplication and addition principles and tree diagrams, to determine the size of a sample space (the number of possible outcomes) and to calculate probabilities. [See: Method Chaining.]

OK.L1.AP.A.01

Create a prototype that uses algorithms (e.g., searching, sorting, finding shortest distance) to provide a possible solution for a real-world problem. [See: Grouped Samples.]

OK.L1.AP.M.01

Break down a solution into procedures using systematic analysis and design. [See: Method Chaining.]

OK.L1.AP.M.02

Create computational artifacts by systematically organizing, manipulating and/or processing data. [See: Method Chaining.]

OK.L1.IC.C.02

Test and refine computational artifacts to reduce bias and equity deficits. [See: Randomness and Sample Size; Grouped Samples.]

OK.PA.A.2.2

Identify, describe, and analyze linear relationships between two variables. [See: Randomness and Sample Size; Grouped Samples.]

OK.PA.D.1.1

Describe the impact that inserting or deleting a data point has on the mean and the median of a data set. Know how to create data displays using a spreadsheet and use a calculator to examine this impact. [See: Grouped Samples.]

OK.PA.D.2.2

Determine how samples are chosen (random, limited, biased) to draw and support conclusions about generalizing a sample to a population. [See: Randomness and Sample Size.]

Connected Math

CMP.7.8

Samples and Populations: Making Comparisons and Predictions. [See: Randomness and Sample Size.]

IM 7 Math™

IM.7.8.11

Comparing Groups. [See: Grouped Samples.]

IM.7.8.18

Comparing Populations Using Samples. [See: Grouped Samples.]

IM.7.8.12

Larger Populations. [See: Randomness and Sample Size.]

IM.7.8.14

Sampling in a Fair Way. [See: Randomness and Sample Size.]

IM.7.8.17

More about Sampling Variability. [See: Randomness and Sample Size.]

IM Algebra 1

IM.Alg1.4.3

Interpreting & Using Function Notation. [See: Method Chaining.]

Software Engineering Practices

SEP.3

Planning and Carrying Out Investigations. [See: Randomness and Sample Size; Grouped Samples.]

Social Justice Standards

SJ.10

Students will examine diversity in social, cultural, political and historical contexts rather than in ways that are superficial or oversimplified.. [See: Randomness and Sample Size.]

Mathematical Learning Routines

MLR.1

Stronger and Clearer Each Time. [See: Randomness and Sample Size.]

MLR.8

Discussion Supports. [See: Method Chaining.]

K12CS Practices

P3

Recognizing and Defining Computational Problems. [See: Method Chaining; Grouped Samples.]

Common Core Practice Standards

MP.3

Construct viable arguments and critique the reasoning of others. [See: Grouped Samples.]

MP.2

Reason abstractly and quantitatively. [See: Randomness and Sample Size; Grouped Samples.]

MP.6

Attend to precision. [See: Method Chaining.]

MP.4

Model with mathematics. [See: Transformers.]