Computer Programming
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Programs & methods
12 Days of Christmas: A Computer Spreadsheet Activity
This great holiday activity shows students how to use a computer spreadsheet to calculate the cost of their true love's gifts in today's dollars. The simple step-by-step procedure will allow both beginning and computer-savvy students to experience success as they learn how to use spreadsheet software. Students will enjoy the engaging and entertaining activity. No computer? No problem! Use the activity master so students can calculate the costs themselves.
5th - 9th
Computer Science - Technology, Statistics
CCSS
5.NBT.B.5
, 5.OA.A.2
, 6.EE.A.2
+3
Lecture Notes - Introduction to R
An introduction to R programming, exploring the basics on PowerPoint slides.
11th - 12th, Adult Education, Higher Education
Computer Science - Technology, Instructional Technology, Statistics
Also included in: Lecture Notes - R for Beginners
Lecture Notes - R for Beginners
Lecture Bundle introduction students to R Programming language. For best results, use alongside R Labs.
11th - 12th, Adult Education, Higher Education
Computer Science - Technology, Instructional Technology, Statistics
Complete Teach Ready Bundle for Data Rookies Labs: Data Mining with Orange
Teach Data Mining Without Code – Everything You Need, Ready to GoNo programming. No prep. No guesswork. *** SEE PREVIEW FOR DETAILS ABOUT THIS PROGRAM (ABOVE) *** Note this is for the LAB EXERCISE portion of the curriculum which may be used with or independently of the content textbook. (details in preview) This all-in-one, ready-to-teach bundle gives you everything you need to deliver a complete data mining curriculum using Orange, a free, visual data analysis platform built for beginners (wor
9th - 12th, Adult Education, Higher Education
Business, Computer Science - Technology, Statistics
Lecture 4 - Further Statistical Analysis in R
Following on from Lecture 3, these notes extend the student's knowledge on Statistical analysis, in relation to R programming.
11th - 12th, Adult Education, Higher Education
Computer Science - Technology, Instructional Technology, Statistics
Complete Teach Ready Bundle - Data Rookies Labs: Intro to Analytics with Orange
Teach Data Analytics Visually – No Code Required, Everything ReadyEverything you need to teach real data science— without writing a single line of code. *** SEE PREVIEW FOR DETAILS ABOUT THIS PROGRAM (ABOVE) *** Note this is for the LAB EXERCISE portion of the curriculum which may be used with or independently of the content textbook. (details in preview) This complete, classroom-ready bundle gives you everything you need to introduce data analytics through Orange, a powerful, free, drag-and-dr
9th - 12th, Adult Education, Higher Education
Business, Computer Science - Technology, Statistics
Marine Science and Biology Cricket Scenario. Scientific Method
This is a lesson on experimental design. The students are given a scenario involving crickets and Bisphenol-A contamination. They are directed to use Odds Ratios, percent calculations, and t-test in order to acquire data and come to a conclusion. A computer program with microsoft word and microft excel is strongly recommended but not necessarily required. The calculations can be done by hand using a calculator. I recommend using at least 2 days for this assignment to do it correctly.
9th - 12th, Adult Education, Higher Education
Biology, Environment, Statistics
Also included in: Marine Science Bundle
Probability Experiment - Great for Pi Day!
Conduct a real probability experiment with your students that allows them to estimate pi. All you need is toothpicks! My students were able to approximate pi as close as 3.13. How about your students? Included: Lesson PlanStudent WorksheetPowerPointNote: I used this lesson in a computer science class before the students wrote a program to simulate the experiment. It's a great idea for a computer program!
7th - 12th
Computer Science - Technology, Math, Statistics
CCSS
7.SP.C.5
, 7.SP.C.6
, HSS-IC.B.6
+1
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with RPLEASE note this accompanies this book available here: Data Rookies LABS: Intro to Analytics with R - Instructor PDF edition**** VISIT PREVIEW LINK ABOVE FOR DETAILED INFORMATION ************ Teach hands-on data analytics with R confidently and efficiently.This all-in-one instructor bundle provides comprehensive teaching resources to support the Data Rookies Labs: Introduction to Analytics with R workbook (sold separat
9th - 12th, Adult Education, Higher Education
Business, Computer Science - Technology, Statistics
AP Statistics Review Presentation – Deck 7 – Inference for Proportions & Tables
Created by an AP Statistics Reader! This resource is a comprehensive PowerPoint presentation that reviews everything students need to know about Inference for Proportions, Inference for Tables, and Inference for Slope in preparation for the AP Statistics Exam. TI-84 calculator keystrokes and screenshots are built into the presentation, along with the solutions to example problems. The PowerPoint presentation is ready to go as-is, but it is also editable. Objectives: • Students will learn how to
11th - 12th
Statistics
Also included in: AP Statistics Review Presentations – Decks 1 to 8
Teach Ready Resource Bundle for Data Rookies Labs: Data Mining with R
Everything Ready. Just Open and Teach.Data Rookies Labs: Data Mining with R – Complete Instructor Support BundlePLEASE note this accompanies this book available here: Data Rookies Labs: Data Mining with R -Instructor PDF edition | TPT*** SEE PREVIEW LINK ABOVE FOR DETAILED PRODUCT AND SERIES INFO*** No coding prep. No content writing. No stress.This complete teaching toolkit gives you everything you need to lead a hands-on, R-based course in data mining—without spending hours on lesson prep. Fr
9th - 12th, Adult Education, Higher Education
Business, Computer Science - Technology, Statistics
AP Statistics: Teach the AI — Outsmart the Bot, Own the Bell
Bring AI to AP Statistics—without giving away the answers. This classroom-tested packet turns your Normal Distribution unit into an interactive, student-driven challenge where learners teach the AI, practice authentically, and collect evidence of learning along the way. Why this feels different (and way more fun) Student-Solve Mode: The bot refuses to compute until students post their own set-up and answer. It only checks, nudges, and celebrates wins. Reveal → Extra Practice: Stuck? Stude
10th - 12th
Computer Science - Technology, Statistics
Box Plot Outlier 1.5xIQR Test using dice
Students roll dice and record how many throws it takes to roll "doubles." After 15 trials, the 5-number summary is calculated. Then outlier "fence posts" are computed, and then sketched, using the 1.5 IQR formula. A box plot is drawn and outliers - if any - are clearly plotted outside the fences. Note: If no student accumulates many rolls before rolling doubles - add your own pretend large outlier type result that you did at home.
10th - 12th
Statistics
AP Microeconomics | No Prep FRQs | Market Failures & Externalities |
FRQ #10 | Market Failures & Externalities | Public Goods and Policy Solutions🎨 TitleAP Microeconomics | Market Failures & Externalities | No Prep FRQ |Full Product Description🧠 Overview & PurposeStudents define and diagnose externalities | compute socially efficient quantity from a PMC | SMC | MB table | design a Pigovian tax | evaluate cap and trade | and justify public provision for public goods. ✏️ How It Can Be Used• Data solve for efficient output as a warm up • Policy comparison chart
9th - 12th, Adult Education, Higher Education
Economics , Other (Social Studies), Statistics
Also included in: AP Microeconomics | No Prep FRQs Bundle | 10 Complete Prompts |
AP Microeconomics | No Prep FRQs | Elasticity & Consumer Choice |
FRQ #2 | Elasticity and Consumer ChoiceTitleAP Microeconomics | Elasticity & Consumer Choice | No Prep FRQ |Full Product Description🧠 Overview & PurposeStudents investigate how responsiveness to price changes shapes firm strategy and consumer behavior. They compute and interpret elasticity | apply the total revenue test | connect elasticity to pricing and promotions | and analyze how tax incidence depends on relative elasticities. ✏️ How It Can Be Used• AP exam practice set | timed or untimed
9th - 12th, Adult Education, Higher Education
Economics , Other (Social Studies), Statistics
Also included in: AP Microeconomics | No Prep FRQs Bundle | 10 Complete Prompts |
Pro Athlete Salary Z-Score & Percentile Activity – Real Data Statistics Practice
Make statistics exciting with this real-world sports data activity! Students will research the salaries of 10 professional athletes from a sport of their choice, then apply statistical concepts to analyze the data. Students will: Calculate the mean and standard deviation of their salary sample Compute the z-score for each athlete’s salary Determine the percentile ranking for each z-score Answer five analysis questions to deepen their understanding and interpretation This engaging activity b
10th - 12th
Applied Math, Money Math, Statistics
CCSS
HSS-ID.A.4
IB Math 4.2.2 Grouped Data Frequency Density Lesson Guided Notes HW KEY
Help students master grouped data with an IB‑aligned, student‑friendly mini‑unit that teaches how to build grouped frequency tables, when and how to use frequency density with unequal class widths, how to draw and read frequency density histograms, and how to estimate the mean using midpoints. Clear objectives and examples keep the focus tight: organize data, compute frequency density, create/read histograms, and estimate the mean from grouped data. Why it helps students Walks them from
11th - 12th
Statistics
IB Math 4.3 Measures of Central Tendency - Activities, Practice, HW, Quiz
Give your students the full experience of learning, practicing, analyzing, and explaining statistics the way IB expects. This bundle combines targeted homework, a concept-checking quiz, a cumulative practice test (4.1–4.3), and two rich, hands-on activities that build data skills and writing—perfect for IA-style thinking (sampling design, visual displays, justified conclusions). What Students Will Do (How learning unfolds) Compute & compare mean, median, mode, range, IQR, and σ for smal
11th - 12th
Statistics
Also included in: IB Math 4.3 Measures of Central Tendency Teaching Bundle
IB Math 4.3 Measures of Central Tendency Teaching Bundle
Why this bundle Give students the full arc from concept → skill → interpretation → application. Start with a student‑friendly guide that motivates why “same mean ≠ same story,” teach and practice with two PPT lessons + two guided notes, then reinforce with targeted homework, a concept‑checking quiz, a spiral practice test (4.1–4.3), and hands‑on activities that build data thinking and IA‑style writing. What students will learn & do Compute and interpret mean, median, mode, range, interquarti
11th - 12th
Statistics
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