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Preview of Psychology Lab Weber's Law and Hearing: How Much Louder to Notice a Difference?

Psychology Lab Weber's Law and Hearing: How Much Louder to Notice a Difference?

Created by
Brian Garber
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
Preview of Psychology Lab Weber's Law and Smell: How Much Stronger Before You Notice?

Psychology Lab Weber's Law and Smell: How Much Stronger Before You Notice?

Created by
Brian Garber
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
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 Temperature: How Hot Before You Feel the Diff.

Psychology Lab Weber's Law and Temperature: How Hot Before You Feel the Diff.

Created by
Brian Garber
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
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 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 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 AP Statistics - Unit 3 Vocabulary Matching Quiz (The Practice of Statistics)

AP Statistics - Unit 3 Vocabulary Matching Quiz (The Practice of Statistics)

Created by
Champe's Math
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
Preview of MYP 4/5 Mathematics – Criterion B Assessment Topic: Probability – Mode

MYP 4/5 Mathematics – Criterion B Assessment Topic: Probability – Mode

Created by
edground
✅ 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
Preview of Psychology Lab Investigative Career Interests: Do Juniors or Seniors Score Highe

Psychology Lab Investigative Career Interests: Do Juniors or Seniors Score Highe

Created by
Brian Garber
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
Preview of AP Stats Card Sort Activity - Match Graphs with Summary 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
Preview of Psychology Lab Juniors vs. Seniors: Who Is More Hypersensitive?

Psychology Lab Juniors vs. Seniors: Who Is More Hypersensitive?

Created by
Brian Garber
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
Preview of Fun Statistics Personality Quiz: Are You the Mean, Median, or Mode?

Fun Statistics Personality Quiz: Are You the Mean, Median, or Mode?

Created by
QuizBreakers
Ever wondered how to make statistics concepts like mean, median, and mode stick with your students? This quirky and engaging personality quiz is the perfect solution! It transforms a core math lesson into a fun journey of self-discovery. Instead of just memorizing definitions, this quiz asks students seven relatable, multiple-choice questions based on everyday scenarios—like choosing pizza toppings, picking a movie, or deciding on an outfit. Based on their answers, they'll find out if their per
Preview of Psychology Lab Autism Spectrum Traits in Juniors vs. Seniors: A t-Test Lab

Psychology Lab Autism Spectrum Traits in Juniors vs. Seniors: A t-Test Lab

Created by
Brian Garber
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
Preview of AP Statistics Unit 3.2 - 4 Quiz (Printable + Key)

AP Statistics Unit 3.2 - 4 Quiz (Printable + Key)

Created by
Champe's Math
⭐ 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-
Preview of Psychology Lab Tired and Grumpy: Does Sleep Quality Predict Negative Affect?

Psychology Lab Tired and Grumpy: Does Sleep Quality Predict Negative Affect?

Created by
Brian Garber
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
Preview of Game Day Stats: Super Bowl Percentages & Data Analysis

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
Preview of Psychology Lab Juniors vs. Seniors: Do Femininity Traits Change? A BSRI Lab

Psychology Lab Juniors vs. Seniors: Do Femininity Traits Change? A BSRI Lab

Created by
Brian Garber
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
Preview of Psychology Lab Want Friends, Fear People: Unmet Belonging Needs and Social Anx.

Psychology Lab Want Friends, Fear People: Unmet Belonging Needs and Social Anx.

Created by
Brian Garber
Students complete the Belonging/Love subscale of a Maslow-based needs assessment and the Liebowitz Social Anxiety Scale (LSAS), then pool paired scores from 9 classmates to calculate a Pearson r. The lab examines a clinically important paradox: people who most want social connection may simultaneously be most afraid of it. Students explain the psychological mechanism — unmet belonging needs can intensify the stakes of social evaluation, increasing fear of rejection and feeding social anxiety — a
Preview of Psychology Lab Is It Anxiety or Just About Health? Comparing Two Constructs

Psychology Lab Is It Anxiety or Just About Health? Comparing Two Constructs

Created by
Brian Garber
Is It Anxiety or Just About Health? Comparing Two Anxiety Constructs Students complete the Short Health Anxiety Inventory (HAI-18) and the GAD-7 General Anxiety scale, then pool data to calculate a Pearson r. The lab examines whether health anxiety is a specific form of general anxiety or a distinct clinical construct, and explores how heightened attention to bodily sensations differs from generalized worry. Discussion connects the lab to post-pandemic increases in health anxiety and challenge
Preview of Psychology Lab Juniors vs. Seniors: Who Feels More Connected to Nature?

Psychology Lab Juniors vs. Seniors: Who Feels More Connected to Nature?

Created by
Brian Garber
Students complete the Connectedness to Nature Scale (CNS), which measures the degree to which a person feels part of the natural world, then collect scores from junior and senior classmates to run an independent samples t-test. The lab explores whether environmental identity and nature connectedness — shown in research to buffer stress and support well-being — differs between the two grade levels. Students consider whether time spent outdoors, exposure to nature during adolescence, or the increa
Preview of Probability Trees No-Prep Mini Unit Bundle | Notes, Activity, and Assignment

Probability Trees No-Prep Mini Unit Bundle | Notes, Activity, and Assignment

Created by
Straight A Math
Make teaching probability trees simple, interactive, and effective with this all-in-one mini unit bundle! Designed for IB Math, Statistics, or any high school probability unit, this no-prep resource includes guided notes, a creative life-based project, and an additional assignment for practice and assessment. Whether you're introducing tree diagrams or reviewing compound probability, this bundle has everything you need to help students understand and apply probability in real-world and imagin
Preview of Standard Deviation Foldable Guided Notes and Practice for Statistics

Standard Deviation Foldable Guided Notes and Practice for Statistics

Created by
Joan Kessler
This hands on resource is designed to help your students understand and evaluate the Standard Deviation from a set of data. Many students not only have a difficult time finding the standard deviation by hand, but also get confused with notation and whether they are finding the sample standard deviation or the population standard deviation. These organizers will clarify the formulas and usages for your students in a straight forward, easy to follow,low prep activity. Included in the Lesson: T
Preview of Probability and Carnival Games STEM Activity Challenge for Middle and High

Probability and Carnival Games STEM Activity Challenge for Middle and High

Take your middle school students' math skills to the next level with our exciting Probability and The Crooked Carnival project pack! Great for end of the year activities! Or, for ANYTIME!Looking for a comprehensive and engaging way to teach probability to your middle and high school students? Our Probability project pack is the perfect solution! With hands-on activities, worksheets, and challenges, this project pack incorporates important probability concepts such as theoretical and experimental
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