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 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 |
AP Statistics Chi Square Tests Match use with Schoology
This resource includes 25 matching questions in which students match the terms and definitions. Designed for High School AP Statistics courses — Chi-Square Tests & Categorical Data unit. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or test prep activity for the Chi-Square Tests & Categorical Data unit this practice can stand alone or be added to an existing Schoology test or quiz. No more printing or correcting, in an LMS it corrects itself! No more passing out the p
9th - 12th, Adult Education, Higher Education
Statistics
AP Statistics Correlation Linear Regression Match use with Schoology
This resource includes 25 matching questions in which students match the terms and definitions. Designed for High School AP Statistics courses — Correlation & Linear Regression unit. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or test prep activity for the Correlation & Linear Regression unit this practice can stand alone or be added to an existing Schoology test or quiz. No more printing or correcting, in an LMS it corrects itself! No more passing out the papers, o
9th - 12th, Adult Education, Higher Education
Statistics
AP Statistics Hypothesis Testing Two Samples Match use with Schoology
This resource includes 25 matching questions in which students match the terms and definitions. Designed for High School AP Statistics courses — Hypothesis Testing — Two Samples & Proportions unit. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or test prep activity for the Hypothesis Testing — Two Samples & Proportions unit this practice can stand alone or be added to an existing Schoology test or quiz. No more printing or correcting, in an LMS it corrects itself! No
9th - 12th, Adult Education, Higher Education
Statistics
AP Statistics Hypothesis Testing Fundamentals Match use with Schoology
This resource includes 25 matching questions in which students match the terms and definitions. Designed for High School AP Statistics courses — Hypothesis Testing — Fundamentals unit. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or test prep activity for the Hypothesis Testing — Fundamentals unit this practice can stand alone or be added to an existing Schoology test or quiz. No more printing or correcting, in an LMS it corrects itself! No more passing out the paper
9th - 12th, Adult Education, Higher Education
Statistics
AP Statistics Confidence Intervals Match use with Schoology
This resource includes 25 matching questions in which students match the terms and definitions. Designed for High School AP Statistics courses — Confidence Intervals unit. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or test prep activity for the Confidence Intervals unit this practice can stand alone or be added to an existing Schoology test or quiz. No more printing or correcting, in an LMS it corrects itself! No more passing out the papers, or collecting them, or
9th - 12th, Adult Education, Higher Education
Statistics
AP Statistics Sampling Distributions Match use with Schoology
This resource includes 25 matching questions in which students match the terms and definitions. Designed for High School AP Statistics courses — Sampling & Sampling Distributions unit. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or test prep activity for the Sampling & Sampling Distributions unit this practice can stand alone or be added to an existing Schoology test or quiz. No more printing or correcting, in an LMS it corrects itself! No more passing out the paper
9th - 12th, Adult Education, Higher Education
Statistics
AP Statistics Probability Distributions Normal Match use with Schoology
This resource includes 25 matching questions in which students match the terms and definitions. Designed for High School AP Statistics courses — Probability Distributions — Normal unit. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or test prep activity for the Probability Distributions — Normal unit this practice can stand alone or be added to an existing Schoology test or quiz. No more printing or correcting, in an LMS it corrects itself! No more passing out the pap
9th - 12th, Adult Education, Higher Education
Statistics
AP Statistics Probability Distributions Discrete Match use with Schoology
This resource includes 25 matching questions in which students match the terms and definitions. Designed for High School AP Statistics courses — Probability Distributions — Discrete unit. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or test prep activity for the Probability Distributions — Discrete unit this practice can stand alone or be added to an existing Schoology test or quiz. No more printing or correcting, in an LMS it corrects itself! No more passing out the
9th - 12th, Adult Education, Higher Education
Statistics
AP Statistics Probability Match use with Schoology
This resource includes 25 matching questions in which students match the terms and definitions. Designed for High School AP Statistics courses — Probability Fundamentals unit. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or test prep activity for the Probability Fundamentals unit this practice can stand alone or be added to an existing Schoology test or quiz. No more printing or correcting, in an LMS it corrects itself! No more passing out the papers, or collecting t
9th - 12th, Adult Education, Higher Education
Statistics
AP Statistics Measure of Center Spread Match use with Schoology
This resource includes 25 matching questions in which students match the terms and definitions. Designed for High School AP Statistics courses — Measures of Center & Spread unit. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or test prep activity for the Measures of Center & Spread unit this practice can stand alone or be added to an existing Schoology test or quiz. No more printing or correcting, in an LMS it corrects itself! No more passing out the papers, or collec
9th - 12th, Adult Education, Higher Education
Statistics
AP Statistics Distributions Match use with Schoology
This resource includes 25 matching questions in which students match the terms and definitions. Designed for High School AP Statistics courses — Displaying & Describing Distributions unit. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or test prep activity for the Displaying & Describing Distributions unit this practice can stand alone or be added to an existing Schoology test or quiz. No more printing or correcting, in an LMS it corrects itself! No more passing out t
9th - 12th, Adult Education, Higher Education
Statistics
AP Statistics Data Variables Statistical Thinking Match use with Schoology
This resource includes 25 matching questions in which students match the terms and definitions. Designed for High School AP Statistics courses — Data, Variables & Statistical Thinking unit. Use as a bell ringer, exit ticket, unit review, sub plan, homework, or test prep activity for the Data, Variables & Statistical Thinking unit this practice can stand alone or be added to an existing Schoology test or quiz. No more printing or correcting, in an LMS it corrects itself! No more passing out
9th - 12th, Adult Education, Higher Education
Statistics
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
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
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
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
Showing 1-24 of 39+ results
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