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Computer Science Student Bundle (Four Advanced Placement Exams)
This bundle includes what to study, tips, practice questions with explanations, and a 100-question practice test for four AP Exams. This is the four-course cluster Computer Science-bound students typically take. The exams include: AP Computer Science AAP Computer Science PrinciplesAP Calculus ABAP Statistics
9th - 12th
Calculus, Computer Science - Technology, Statistics
CCSS
HSS-ID.A.3
, HSS-ID.A.4
, HSS-ID.B.6
+12
Sampling and Experiments Sorting- Statistics
Two activities for Sampling and Experiments. Can be used in any high school Statistics course, including AP Statistics. In the first activity students sort sampling methods to either simple random, cluster, stratified, or systematic. The second activity students differentiate between observational studies and experiments and analyze the four components of an experiment. Can be combined with computer work or FRQ practice to make stations.
9th - 12th
Statistics
Linear Regression Grudge Ball Game
Linear Regression Grudge Ball- A fun game to play with advanced Statistics students to review concepts of two-variable data with linear regression. Students group into teams, each team gets a chance to answer a question. If a team gets it right, they shoot a ball into a basket to take away points from other teams! Last team standing wins! Concepts include: residuals, explanatory vs. response variable, correlation, scatter plots, computer output for linear regression Supplies needed: ball and b
11th - 12th
Statistics
AP Statistics | Unit 9 Linear Inference | Study Guide Review | One Pager Notes
This one page handwritten study guide is the perfect summary for CED Unit 9: Inference for Linear Regression. It provides students with a clear, organized overview of the key concepts, vocabulary and formulas they need to understand and review this unit. This resources is great for unit review, test preparation, AP exam review or student reference throughout the course. Topics Included: Confidence IntervalsSignificance TestsDefining ParameterConditions for InferenceReading Computer OutputWhy Tea
11th - 12th
Statistics
Also included in: AP Statistics One Page Unit Study Guide Bundle | AP Exam Review Prep
AP® Statistics - Unit 9: Inference for Slopes
This resource includes one powerpoint-style lesson (example is in the preview) per section, one worksheet set with full solutions per section, one reference sheet for the unit, and one unit test for the unit with solutions. Unit 9: Inference for Slopes9.1 — Conditions for Regression Inference 9.2 — Standard Error of the Slope 9.3 — Confidence Interval for the Slope 9.4 — Significance Test for the Slope 9.5 — Using Computer Output for Regression Inference AP® is a trademark registered by the Coll
12th, Higher Education
Statistics
Also included in: AP® Statistics - Full Course Curriculum
AP Exam STEM Mega-Bundle (All 13 STEM Advanced Placement Exams)
This bundle includes what to study, tips, practice questions with explanations, and a 100-question practice test for each of the thirteen STEM AP Exams. Perfect for pre-med and engineering-bound students, STEM tutoring centers, and magnet school teachers. The exams include: AP BiologyAP ChemistryAP Environmental ScienceAP Physics 1AP Physics 2AP Physics C: Mechanics AP Physics C: E&MAP PrecalculusAP Calculus ABAP Calculus BCAP StatisticsAP Computer Science AAP Computer Science Principles
9th - 12th
Biology, Calculus, Statistics
CCSS, NGSS
HSG-GPE.A.1
, HSG-GPE.A.2
, HSG-GPE.A.3
+5
AP Statistics | Unit 2 Two Variable Data | Study Guide Review | One Pager Notes
This one page handwritten study guide is the perfect summary for CED Unit 2: Two Variable Data. It provides students with a clear, organized overview of the key concepts, vocabulary and formulas they need to understand and review this unit. This resources is great for unit review, test preparation, AP exam review or student reference throughout the course. Topics Included: Scatter PlotsDescribing RelationshipsCorrelationResiduals and Residual PlotsInterpreting Slope, y-intercept, Correlation, Co
11th - 12th
Statistics
Also included in: AP Statistics One Page Unit Study Guide Bundle | AP Exam Review Prep
AP Statistics Final Project | Simulations with AI | Editable | No Prep
AP STATISTICS MEETS AI: ENGAGING POST-EXAM PROBABILITY PROJECT Transform your post-AP exam time into a powerful learning experience! This comprehensive 35+ page resource combines probability simulation with cutting-edge AI tools, giving your students valuable skills that extend beyond the classroom. WHY TEACHERS LOVE THIS RESOURCE: Zero prep required – Complete teacher guide, answer keys, and student materials ready for immediate useAuthentic technology integration – Students learn to use G
11th - 12th, Higher Education
Computer Science - Technology, Statistics
CCSS, NGSS
HSS-ID.A.1
, HSS-ID.B.5
, HSS-IC.A.2
+15
Machine Learning 201
This is a mid-level basic explanation of What is Machine Learning and how it works. It includes a basic overview of algorithms, the different types of algorithms, basic artificial intelligence, and the basics of how they work. It also includes the two basic types of Machine Learning, Supervised and Unsupervised, and how they work to improve our lives everyday! It also includes a two page term/description exercise match for review.
Not Specific
Computer Science - Technology, Instructional Technology, Statistics
Quantum Computing 101
Introduction into Quantum Computing. This provides an basic overall explanation of Quantum Computing. It includes who the key players in the industry are and their approach to solving this complex issue. Also included is a key term match and quiz to review the material. Machine Learning and artificial intelligence.
Not Specific
Computer Science - Technology, Instructional Technology, Statistics
Machine Learning AI 101
This is a basic introduction into Artificial Intelligence Machine Learning. This product uses simple to understand terms any student can understand. It covers supervised machine learning, unsupervised machine learning, and reinforcement machine learning. It also includes an exercise to review the basics of machine learning.
Not Specific
Computer Science - Technology, Other (Math), Statistics
Psychology Lab Bounce Back and Thrive: Resilience and Psychological Flourishing
Activity Description Students complete the Brief Resilience Scale (BRS) and Diener's Flourishing Scale, then pool paired scores from 9 classmates to compute a Pearson r. The lab examines whether the ability to bounce back from adversity predicts a fuller, more engaged and purposeful life. Students explain the psychological mechanism linking resilience to flourishing — including adaptive coping, maintenance of relationships through adversity, and maintained sense of purpose — and evaluate a fic
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Feel It to Navigate It: Empathy and Social Intelligence
Students complete the Empathy Quotient (EQ) and the Tromsø Social Intelligence Scale (TSIS), then pool paired scores from 9 classmates to compute a Pearson r. The lab investigates whether understanding others' emotions predicts broader social skill. Students explain the psychological mechanism connecting emotional perspective-taking to social intelligence, and evaluate a fictional claim that the two are unrelated because social skill can exist without emotional concern. The lab reinforces the id
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Grit vs. the Couch: Does Perseverance Predict Less Proc.
Students complete the Short Grit Scale (GRIT-S) and the General Procrastination Scale, then pool paired scores from 9 classmates to compute a Pearson r. The lab asks whether perseverance for long-term goals predicts less avoidance of tasks. Students interpret their correlation, explain the motivational mechanism connecting grit to procrastination, and critically evaluate a fictional claim that the two are positively correlated — directly contradicting what psychological theory would predict. Thi
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Lost in Your Head and Lonely: Rumination and Social Disconnection
Activity Description Students complete the Rumination Response Scale and the Three-Item Loneliness Scale (TILS), then pool paired scores from 9 classmates to compute a Pearson r. The lab examines whether dwelling on negative thoughts relates to feeling socially disconnected. Students explain the psychological mechanism linking ruminative thinking to loneliness — including how inward-focused negative thought may interfere with social engagement — and evaluate a fictional claim that rumination r
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Count Your Blessings: Does Gratitude Predict Life Satisfaction?
Activity Description Students complete the Gratitude Questionnaire (GQ-6) and the Satisfaction With Life Scale (SWLS), then pool paired scores from 9 classmates to compute a Pearson r. The lab examines whether people who feel more grateful also feel more satisfied with their lives. Students explain the psychological mechanism linking gratitude to life satisfaction — including attention to positive experiences and social bonding — and evaluate a fictional claim that being thankful doesn't chang
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Hard Work Pays Off? Work Ethic and Belief in Yourself
Activity Description Students complete the Protestant Work Ethic (PWE) scale and the Generalized Self-Efficacy Scale (GSE), then pool paired scores from 9 classmates to compute a Pearson r. The lab examines whether valuing hard work is associated with stronger belief in one's ability to succeed. Students explain the psychological mechanism — including mastery experiences and behavioral confirmation of capability — and evaluate a fictional claim that work ethic and self-efficacy are negatively
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Know It to Control It: Emotional Intelligence and Reappraisal
Activity Description Students complete the Emotional Intelligence scale and the Emotion Regulation Questionnaire (ERQ) Cognitive Reappraisal subscale, then pool paired scores from 9 classmates to compute a Pearson r. The lab examines whether people who are better at understanding emotions also tend to regulate them more effectively through reappraisal. Students explain the mechanism linking emotional knowledge to effective cognitive regulation, and evaluate a fictional claim that knowing about
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Reaching Your Potential: Self-Actualization Predicts Flourishing
Reaching Your Potential: Does Self-Actualization Predict Flourishing? Students complete a Maslow Personality Test's Self-Actualization subscale and Diener's Flourishing Scale, then pool data to compute a Pearson r. The lab directly compares a classical humanistic construct (self-actualization based on clinical observation) with a modern psychometrically developed measure (flourishing), asking students to evaluate which is more scientifically reliable. Students also examine Maslow's claim that
8th - 12th, Adult Education, Higher Education
Psychology, Statistics
Psychology Lab Stuck in Your Head: Neuroticism, Rumination, Negative Thinking
Stuck in Your Head: Neuroticism, Rumination, and Negative Thinking Students complete the Eysenck Personality Test's Neuroticism subscale and the Rumination Response Scale (RRS), then pool data to compute a Pearson r. The lab examines the neurobiological basis of neuroticism (limbic system overreactivity) and its connection to repetitive negative thinking. Students explore the causal direction problem — whether neuroticism causes rumination or rumination deepens neuroticism over time — and con
8th - 12th, Adult Education, Higher Education
Psychology, Statistics
Psychology Lab Think Hard, Think Logical? Need for Cognition and Rational Style
Activity Description Students complete the Need for Cognition Scale (NCS-6) and the Rational-Experiential Inventory (REI) Rational Thinking subscale, then pool paired scores from 9 classmates to compute a Pearson r. The lab examines whether people who enjoy thinking hard also tend to rely more on logical analysis. Students explain the psychological mechanism linking the motivation to think carefully (NFC) to the actual thinking style used (rational vs. experiential), and evaluate a fictional c
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Do You Feel Respected? Maslow's Esteem Needs and Satisfaction
Do You Feel Respected? Maslow's Esteem Needs and Life Satisfaction Students complete the Maslow Need Satisfaction Scale focusing on the Esteem Needs subscale, and the Satisfaction With Life Scale (SWLS), then pool data to compute a Pearson r. The lab tests Maslow's hierarchical theory by examining whether esteem need satisfaction predicts life satisfaction. Students evaluate why esteem needs (respect from others, self-respect) are theorized to be especially important for well-being and critic
8th - 12th, Adult Education, Higher Education
Psychology, Statistics
Psychology Lab Laugh Your Way to Happiness? Humor Styles and Life Satisfaction
Laugh Your Way to Happiness? Humor Styles and Life Satisfaction Students complete the Humor Styles Questionnaire (HSQ) focusing on the Affiliative Humor subscale, and the Satisfaction With Life Scale (SWLS), then pool data to compute a Pearson r. The lab introduces Martin's four humor styles (affiliative, self-enhancing, aggressive, self-defeating) and asks students to predict how each style differently relates to well-being. Students consider whether happy people use more humor or whether hu
8th - 12th, Adult Education, Higher Education
Health, Psychology, Statistics
Psychology Lab Creative Minds Think Alike? Openness and Artistic Career Interest
Creative Minds Think Alike? Openness and Artistic Career Interest Students measure their Artistic career interest score using Holland's Career Personality Test and their Big Five Openness to Experience score, then collaborate and pool data with classmates to compute a Pearson r correlation. The lab explores whether the creative and curious personality dimension of Openness predicts interest in artistic careers. A fictional expert claim challenges students to apply their data critically. Keyw
8th - 12th, Adult Education, Higher Education
Psychology, Statistics, Visual Arts
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