Percent Increase and Decrease Quiz
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Programs & methods
Psychology Lab Weber's Law and Hearing: How Much Louder to Notice a Difference?
Students apply Weber's Law (ΔI = k × I, where k = 0.1 for hearing) to calculate the just noticeable difference (JND) in loudness for ten stimulus intensities ranging from 20 to 110 dB. After completing the data table, students plot intensity on the x-axis and JND on the y-axis, identify the linear relationship, and explain in everyday language how the JND grows proportionally with intensity. A real-world application problem asks students to calculate the minimum loudness increase a concert-goer
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Weber's Law and Smell: How Much Stronger Before You Notice?
Students apply Weber's Law (ΔI = k × I, where k = 0.05 for smell) to calculate JNDs for ten odor concentrations ranging from 20 to 500 AU (arbitrary units). After completing the data table and plotting the graph, students describe the linear intensity-JND relationship and explain how the olfactory system's sensitivity relates proportionally to baseline concentration. A real-world problem asks students to calculate the minimum odor increase a fragrance evaluator named Parfumia would detect at 120
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Weber's Law and Taste: How Much Saltier Before You Notice?
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
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Weber's Law and Temperature: How Hot Before You Feel the Diff.
Students apply Weber's Law (ΔI = k × I, where k = 0.07 for temperature) to calculate JNDs for ten temperatures ranging from 10 to 55°C. The lab introduces students to thermal sensation as a measurable, Weber's Law-governed sensory modality. After graphing and identifying the linear relationship, students explain how the JND for temperature grows with baseline temperature. A real-world problem asks students to calculate the minimum temperature increase a hot tub enthusiast named Chilldaddy would
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Weber's Law and Touch: How Much Pressure Before You Feel More?
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
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Weber's Law and Vision: How Much Brighter Before Your Eye Notices
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
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Weber's Law and Kinesthesis: How Much Heavier Before You Feel It?
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
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
AP Statistics - Unit 3 Vocabulary Matching Quiz (The Practice of Statistics)
This Unit 3 Vocabulary Matching Quiz is designed for AP Statistics students studying The Practice of Statistics, specifically focusing on collecting data and designing studies. It provides a structured, ready-to-use resource for testing students' knowledge of key terms and concepts, including population, sample, bias, experimental design, sampling methods, confounding, and more. Features:Matching Section: 17 key vocabulary terms matched with precise definitions.Short Answer Section: Two conc
10th - 12th
Applied Math, Math Test Prep, Statistics
CCSS, NGSS
HSS-ID.A.1
, HSS-ID.A.2
, HSS-ID.A.3
+5
AP Statistics - Unit 5 Vocabulary Matching Quiz (The Practice of Statistics)
This Unit 5 Vocabulary Matching Quiz is designed for AP Statistics students studying The Practice of Statistics, specifically focusing on Sampling Distributions. It provides a structured, ready-to-use resource for testing students' knowledge of key terms and concepts. Features:Matching Section: 8 key vocabulary terms matched with precise definitions.Short Answer Section: Two conceptual questions to deepen understanding.Teacher Answer Key: Includes correct matching answers and sample responses
10th - 12th
Statistics
AP Macroeconomics | No Prep FRQs | Opportunity Cost & Comparative Advantage | |
FRQ 1: Basic Economic Concepts – Opportunity Cost & Comparative AdvantageTitle:AP Macroeconomics | Opportunity Cost & Comparative Advantage | No-Prep FRQ | Description: Overview: This FRQ challenges students to analyze how opportunity cost and comparative advantage shape international trade. Using Adam Smith’s original quote and real-world trade examples, learners apply theory to data-driven decisions about specialization and efficiency. How It Can Be Used: 🌎 As a class discussion starter on
9th - 12th, Adult Education, Higher Education
Economics , Other (Social Studies), Statistics
Also included in: AP Macroeconomics | No Prep FRQs Bundle | 10 Complete Prompts |
T-Test & Hypothesis Testing Assignment | Find P-Value & Drawing Conclusions
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
10th - 12th, Higher Education
Other (Math), Statistics
CCSS
HSS-IC.B.4
Sample Survey Vocab Quiz – Statistics Assessment with Key
This quick 7-question vocabulary quiz is perfect for assessing your statistics students' understanding of key terms related to survey methods. Use it as an exit ticket, homework assignment, or review activity during your sampling and survey unit. Vocabulary terms included: • Cluster • Bias • Simple Random Sample (SRS) • Stratified • Sample • Systematic • Population Make sure students are familiar with these concepts before administering the quiz. Great for high school statistics or AP/IB
9th - 12th
Other (Math), Other (Science), Statistics
CCSS
HSS-IC.A.1
MYP 4/5 Mathematics – Criterion B Assessment Topic: Probability – Mode
✅ Assessment OverviewThis is a formative assessment task designed for MYP Year 4 or 5 Standard Mathematics, aligned to Criterion B: Investigating Patterns. The task focuses on developing student understanding of probability, with a specific investigation into the most common sum when rolling two dice.✅ Assessment OverviewThis is a formative assessment task designed for MYP Year 4 or 5 Extended Mathematics, aligned to Criterion B: Investigating Patterns. The task focuses on developing s
9th - 10th
Applied Math, Statistics
The Geometric Distribution (4.12 Mega Practice Set)
This Mega Practice Set of 17 pages provides a complete and in-depth collection of 50 original, AP-style multiple-choice questions covering Geometric Distributions, fully aligned with AP Statistics Unit 4.12. The questions are carefully structured into five levels of increasing depth, guiding students from basic probability calculations to advanced interpretation and parameter reasoning—exactly the skills required for AP Statistics success. Perfect for classroom instruction, homework, assess
10th - 12th, Higher Education
Statistics
Also included in: The Geometric Distribution (4.12 AP Statistics Theory and Practice)
Psychology Lab Investigative Career Interests: Do Juniors or Seniors Score Highe
Students complete the IIP RIASEC Markers Holland Code assessment at openpsychometrics.org and record only their Investigative (I) score, which reflects interest in science, research, and analytical thinking. Students pool Investigative scores with classmates, separating results by grade level. Junior and senior scores are entered into an independent samples t-test to evaluate whether career interest differences are statistically significant. Students analyze group averages, interpret statistical
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
AP Stats Card Sort Activity - Match Graphs with Summary Statistics
This AP Statistics Card Sort Activity is an interactive way for students to practice describing and comparing one-variable quantitative data. Instead of a worksheet, students engage in hands-on learning by matching graphs, numerical summaries (mean, median, mode, IQR, standard deviation), and distribution characteristics. Perfect for a portion of the AP Stats Unit 1 (Exploring One-Variable Data), this card sort helps students build deeper understanding of shape, center, spread, and unusual feat
9th - 12th
Statistics
Psychology Lab Juniors vs. Seniors: Who Is More Hypersensitive?
Students complete the Hypersensitive Narcissism Scale (HSNS) measuring covert narcissism — characterized by hypersensitivity to criticism, self-absorption, and fragile self-esteem — then collect scores from junior and senior classmates to run an independent samples t-test. The lab is one of the more conceptually sophisticated in the collection, asking students to consider whether hypersensitive narcissism might change across high school years. Juniors navigating high-stakes performance pressure
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Statistics
A fun introduction to some of the most commonly-used statistical distributions, including the Normal, Binomial, Poisson and more. Great for budding scientists and mathematicians! Comes with activities, a quiz and answer guide.
9th - 12th
Statistics
Psychology Lab Autism Spectrum Traits in Juniors vs. Seniors: A t-Test Lab
Students complete the Autism Spectrum Quotient (AQ), a widely used self-report measure of autism-spectrum-associated traits such as social skill differences, attention switching, and attention to detail. Students record their scores and contribute to a class dataset organized by grade level. Junior and senior scores are entered into an independent samples t-test to determine whether differences in autism spectrum trait expression are statistically significant across grade levels. Students interp
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Introduction to Binomial Distribution (AP Statistics)
This AP Statistics Mega Practice Set provides a complete collection of 30 original, exam-style questions on the Binomial Distribution (4.10), structured in two levels of increasing depth. The set is designed to strengthen students’ conceptual understanding, formula-based reasoning, and calculator-based probability skills—exactly what they need for AP Statistics Unit 4.10. Perfect for class practice, homework, review lessons, test preparation, or targeted skill building. Skills DevelopedIdenti
10th - 12th
Statistics
Also included in: Binomial Distribution (AP statistics)
AP Statistics Unit 3.2 - 4 Quiz (Printable + Key)
⭐ Perfect for AP Statistics Unit 3 Review or Assessment!This ready-to-use AP Statistics Quiz covers key concepts from Unit 3.2 - Planning a Study, 3.3 - Random Sampling and Data Collection, and 3.4 - Potential Problems with Sampling. It's designed to assess student understanding of sampling methods, bias, and experimental design - complete with an answer key and scoring guidelines. Includes:Student Quiz (2 pages)Multiple-choice questions (MCQ's) on sampling methods, bias, and experimentsFree-
10th - 12th
Applied Math, Statistics
Psychology Lab Tired and Grumpy: Does Sleep Quality Predict Negative Affect?
Tired and Grumpy: Does Sleep Quality Predict Negative Affect? Students complete the Groningen Sleep Quality Scale (GSQS) and the PANAS Negative Affect subscale, then pool data to calculate a Pearson r. The lab connects sleep neuroscience — specifically amygdala reactivity to sleep deprivation — to emotional experience, providing a biological mechanism for the predicted correlation. Students analyze the bidirectional cycle in which poor sleep increases negative emotion and negative emotion disr
8th - 12th, Adult Education, Higher Education
Psychology, Statistics
Game Day Stats: Super Bowl Percentages & Data Analysis
Bring real-world data into your classroom with this engaging Super Bowl–themed statistics activity! Students analyze football game data to calculate percentages, ratios, and statistical changes, all while working with realistic Super Bowl scenarios. This worksheet includes 5 structured word problems that ask students to calculate current statistics and then analyze how those values change under new conditions. It’s perfect for reinforcing percent calculations, ratios, and data interpretation in
9th - 12th
Algebra, Algebra 2, Statistics
CCSS
HSS-ID.A.1
, HSS-ID.A.2
, HSS-ID.A.3
+4
Psychology Lab Juniors vs. Seniors: Do Femininity Traits Change? A BSRI Lab
Students complete the Bem Sex Role Inventory (BSRI) and record only their Femininity subscale score, then collect scores from junior and senior classmates to run an independent samples t-test. The Femininity subscale measures self-reported traits historically associated with femininity — warmth, nurturance, sensitivity, and compassion — regardless of the students gender. The lab examines whether these interpersonally oriented traits change meaningfully between junior and senior year, and invites
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
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