TPT
Total:
$0.00

Place Value Array

91+ results
Preview of Expected Value & Discrete Probability Bundle | Notes, Game & Practice

Expected Value & Discrete Probability Bundle | Notes, Game & Practice

Created by
Straight A Math
Master expected value and discrete probability with this no-prep, real-world math bundle! Perfect for IB Math, AP Stats, or any high school statistics class, this engaging set includes guided notes, an exciting game-based activity, and additional practice to reinforce understanding. What's Included: Guided Notes on expected value & discrete distributions Key vocabulary, formulas, and worked examples Fill-in-the-blank format to promote active learning IB and exam-style questions with an a
Preview of Psychology Lab Grit: Is It About Believing You Can or Valuing Hard Work?

Psychology Lab Grit: Is It About Believing You Can or Valuing Hard Work?

Created by
Brian Garber
Students complete the Short Grit Scale GRIT-S (X), the Generalized Self-Efficacy Scale GSE (Y), and the Protestant Work Ethic scale PWE (Z), then collect all three scores from 9 classmates and run two correlations: Grit vs. Self-Efficacy and Grit vs. Work Ethic. The lab examines whether grit — perseverance and passion for long-term goals — is more strongly linked to confidence in one's capabilities (self-efficacy) or to the valuation of hard work as a moral and personal virtue (work ethic). Stud
Preview of p-Value Threshold DBQ/CER | Statistics Worksheet | GATE Middle School

p-Value Threshold DBQ/CER | Statistics Worksheet | GATE Middle School

📘 Full Length Standard Aligned DBQ CER Style Worksheet - Claim Evidence Reasoning | p-Value Threshold Worksheet | Evidence-Based Reading Engage your students in high-level critical thinking and evidence-based analysis on the subject of Statistics, with this Full Length DBQ CER Style Worksheet. This resource is designed to help students analyze real-world topics, interpret informational texts, and support answers with evidence—all while staying accessible for gifted & talented middle school
Preview of Interpreting p values (AP Statistics 6.5) Mega Smart Notes

Interpreting p values (AP Statistics 6.5) Mega Smart Notes

Understand and interpret p-values with these clear, exam-focused Mega Smart Notes, fully aligned with AP Statistics Unit 6.5. This resource emphasizes correct statistical reasoning, proper wording, and common AP exam traps when working with p-values in hypothesis testing. 📘 What’s Included: ✔ Clear definition of a p-value (AP-approved language) ✔ Why the p-value is calculated assuming H₀ is true ✔ Step-by-step p-value calculation using z-scores ✔ Right-tailed, left-tailed, and two-tailed
Preview of Expected Value & Discrete Distributions | No-Prep Probability Lesson for IB Math

Expected Value & Discrete Distributions | No-Prep Probability Lesson for IB Math

Created by
Straight A Math
Make teaching Expected Value and Discrete Probability Distributions effortless with this no-prep guided notes resource, designed for IB Math (AI & AA) or any high school statistics course. These structured, student-friendly notes help your learners master core probability concepts with step-by-step instruction, practice problems, and clear visuals. ✅ What’s Included: Definitions of expected value, discrete random variables, and probability distributions Guided examples walking through how
Preview of Array We Go! Introducing Multiplication, Factors, Primes, & Composites

Array We Go! Introducing Multiplication, Factors, Primes, & Composites

This is an engaging and visual way to introduce multiplication and the concepts of factors, multiples, primes, composites and MORE! Students build arrays for the numbers 1–25 and look for patterns and characteristics that help them learn to recognize multiples. Directed questions also help them to learn to identify primes and composites. Square numbers, factor rich numbers, and perfect numbers are included for more advanced students. Extensions allow you to take the lesson to a multi-day in dept
Preview of Car or No Car? | Expected Value Partner Game | Probability & Statistics Activity

Car or No Car? | Expected Value Partner Game | Probability & Statistics Activity

Created by
Straight A Math
Make expected value come to life in your classroom with this high-stakes, game-show inspired partner activity! "Car or No Car?" is a fun and engaging way for students to apply expected value concepts while making real-world financial decisions — just like the game Deal or No Deal, with real car values! Game Overview: In this partner-based activity, one student plays the contestant, and the other becomes the dealer. Students work with cut-out “garage” cards that hide the names and market
Preview of NO PREP & SELF-GRADING! P-Values video questions

NO PREP & SELF-GRADING! P-Values video questions

Created by
Wild About Bio
Google form linked to Crash Course video: P-Values (Part 1) with 10 questions to introduce the topic of Null Hypothesis Significance Testing. This is geared more toward AP Biology classes. It can be easily modified for ELL.
Preview of Expected Value & Discrete Distributions | IB Math Additional Practice Worksheet

Expected Value & Discrete Distributions | IB Math Additional Practice Worksheet

Created by
Straight A Math
Reinforce your students’ understanding of expected value and discrete probability distributions with this targeted, no-prep practice worksheet — perfect for IB Math or any high school statistics class! This resource is designed to give students the extra repetition and challenge they need to master calculating expected value, interpreting distribution tables, and applying their knowledge to real-world problems. ✅ What’s Included: Practice problems covering: Discrete random variables Pro
Preview of T-Test & Hypothesis Testing Assignment | Find P-Value & Drawing Conclusions

T-Test & Hypothesis Testing Assignment | Find P-Value & Drawing Conclusions

Created by
Straight A Math
Reinforce key statistics concepts with this no-prep T-Test & Hypothesis Testing Assignment, designed for IB Math, AP Statistics, or any high school/college stats course. This assignment gives students hands-on practice with two-sample t-tests, guiding them through real-world data analysis and statistical reasoning. What’s Included: Practice identifying null and alternative hypotheses Interpreting the p-value to assess significance Performing and analyzing two-sample t-tests Drawing c
Preview of Pseudo Sudoku: Practice Probability Rules - perfect for AP Stats & Algebra II

Pseudo Sudoku: Practice Probability Rules - perfect for AP Stats & Algebra II

🎲 Pseudo Sudoku: A Probability Logic Challenge: Unions • Intersections • “Only” Values • Conditionals Perfect for AP Statistics Unit 4 • Algebra 2 • Honors Precalculus🌟 Product OverviewIn Pseudo Sudoku, students practice computing and reasoning about probabilities of A only, B only, A ∩ B, and A ∪ B while using self-checking clues to complete a sudoku-style grid. Each of the three self-checking puzzles (Easy, Medium, Hard) reinforces probability reasoning and self-verification throug
Preview of TI-Nspire / AP Statistics- Find z-scores & Proportions, Graph the Normal curve

TI-Nspire / AP Statistics- Find z-scores & Proportions, Graph the Normal curve

TI-Nspire graphing calculator steps and apps to find data value (given a proportion, Normal model) z-score (given a proportion) proportion (using data values or z-scores)7 Practice problems Answer Key on pg 6
Preview of TED Talk: The method that can “Prove” almost anything- James A. Smith

TED Talk: The method that can “Prove” almost anything- James A. Smith

This critical-thinking resource accompanies the TED-Ed video on p-values, p-hacking, and the pitfalls of statistical misuse in scientific research. Designed for high school and college-level learners, the resource includes 20 engaging discussion questions, an expanded essay prompt, and a thought-provoking classroom debate topic. Topics explored include null hypotheses, false positives, statistical significance, data manipulation, and the emerging field of meta-science. This is a perfect resourc
Preview of AP Statistics Normal Distributions Review Dominos Review Activity

AP Statistics Normal Distributions Review Dominos Review Activity

In this review activity, students will practice Normal Distribution calculations. Students will place dominos in order as they practice finding z-scores, probabilities, percentiles, and more! This activity is great for group collaboration and is self checking. This activity uses the calculator, so answers may be slightly off if using a z-score table. The order of the dominos in the original file (before cutting) will tell you the correct order.
Preview of Guided Notes - Lesson 8.4 - Chi-Squared χ2 Hypothesis Test for Goodness of Fit

Guided Notes - Lesson 8.4 - Chi-Squared χ2 Hypothesis Test for Goodness of Fit

Created by
Counting Corner
IB Applications & Interpretations SL: Objective: Conduct a hypothesis test and use a p-value to make decisions Introduce χ2 test for goodness of fit, degrees of freedom Demonstrate how to calculate on graphing calculator Example Practice
Preview of Guided Notes - Lesson 8.3 - Hypothesis Testing for Means

Guided Notes - Lesson 8.3 - Hypothesis Testing for Means

Created by
Counting Corner
IB Applications & Interpretations SL: Objective: Conduct a hypothesis test and use a p-value to make decisions Decision rules based on p-value Finding a p-value for a hypothesis test Finding a standardize test statistic 5 step hypothesis test for a mean Examples Practice
Preview of Chi-Square Distribution Explorer | Interactive Digital Tool | Statistics | $2

Chi-Square Distribution Explorer | Interactive Digital Tool | Statistics | $2

Created by
Under the Curve
An interactive browser-based dashboard for the chi-square distribution — drag sliders to shade p-value areas, watch the live critical values table highlight in real time, and explore college-level formulas all in one scrollable HTML file. Perfect for AP Statistics and beyond. How it works: Students open the HTML file in any browser and see an interactive chi-square curve with multiple df overlays. Two sliders control degrees of freedom and the critical value. The shaded area updates instantly to
Preview of AP Statistics Regression Maze - Slope, Solve for y-intercept, r, r², Residuals

AP Statistics Regression Maze - Slope, Solve for y-intercept, r, r², Residuals

This engaging maze activity helps students practice the linear regression calculations for AP Statistics. In each problem, several regression statistics are provided, and students must calculate the missing values, such as slope, intercept, correlation coefficient, coefficient of determination, predicted value, and residual. Students record their answers on the student answer sheet and follow the correct path through the maze; wrong answers lead to dead ends, making the activity naturally sel
Preview of AP Microeconomics | No Prep FRQs | Labor Markets & Wages |

AP Microeconomics | No Prep FRQs | Labor Markets & Wages |

FRQ #9 | Factor Markets | Labor, Wages, and Marginal ProductivityTitleAP Microeconomics | Labor Markets & Wages | No Prep FRQ |Full Product Description🧠 Overview & PurposeStudents derive the value of marginal product | select profit maximizing employment | explain wage differentials | and evaluate effects of a binding minimum wage with automation or hours adjustments. ✏️ How It Can Be Used• VMP calculation sprint from table data • Socratic discussion on education and wages using BLS • Quick w
Preview of Psychology Lab Weber's Law and Kinesthesis: How Much Heavier Before You Feel It?

Psychology Lab Weber's Law and Kinesthesis: How Much Heavier Before You Feel It?

Created by
Brian Garber
Students apply Weber's Law (ΔI = k × I, where k = 0.02 for kinesthesis) to calculate JNDs for ten lifted weights ranging from 100 to 5000 g. Sharing the same k value as vision (0.02), this lab allows for cross-modal comparison of sensitivity and demonstrates that the kinesthetic system — despite sensing a very different type of stimulus — matches visual sensitivity in proportional discrimination. After graphing, students describe the linear relationship. A real-world problem asks students to cal
Preview of Psychology Lab Weber's Law and Vision: How Much Brighter Before Your Eye Notices

Psychology Lab Weber's Law and Vision: How Much Brighter Before Your Eye Notices

Created by
Brian Garber
Students apply Weber's Law (ΔI = k × I, where k = 0.02 for brightness) to calculate JNDs for ten light intensities ranging from 100 to 3000 candelas (cd). The very low k value for vision — the lowest in the collection alongside kinesthesis — demonstrates that the visual system is among the most sensitive to proportional changes, requiring only a 2% change for detection. After graphing, students note the linear relationship and discuss the implications of the small k value. A real-world problem a
Preview of Psychology Lab Weber's Law and Taste: How Much Saltier Before You Notice?

Psychology Lab Weber's Law and Taste: How Much Saltier Before You Notice?

Created by
Brian Garber
Students apply Weber's Law (ΔI = k × I, where k = 0.20 for saltiness) to calculate JNDs for ten salt concentrations ranging from 1 to 40 g/L. The relatively high k value for taste (compared to vision and kinesthesis) gives students data that demonstrates taste's lower sensitivity to proportional changes. After graphing, students describe the linear relationship and explain what the larger k value implies about gustatory discrimination. A real-world problem asks students to calculate the minimum
Preview of Psychology Lab Weber's Law and Touch: How Much Pressure Before You Feel More?

Psychology Lab Weber's Law and Touch: How Much Pressure Before You Feel More?

Created by
Brian Garber
Students apply Weber's Law (ΔI = k × I, where k = 0.14 for touch/pressure) to calculate JNDs for ten pressure intensities ranging from 50 to 1500 g. The wide range of values — from light touch to heavy pressure — gives students data that clearly illustrates the proportional scaling of JND across a broad sensory range. After graphing, students describe the linear relationship. A real-world problem asks students to calculate the minimum pressure increase a massage therapist named Squishy would nee
Preview of AP Statistics: Random Variables & Probability Distributions – Complete Unit

AP Statistics: Random Variables & Probability Distributions – Complete Unit

This AP Statistics: Random Variables & Probability Distributions Comprehensive Worksheet is a complete, classroom-ready resource designed to help students master one of the most challenging AP Statistics units. From expected value and variance to binomial, geometric, and normal distributions, this packet provides clear explanations, worked examples, AP-style questions, and fully developed solutions that model College Board–level reasoning. Perfect for unit instruction, guided practice, revi
Showing 1-24 of 91+ results