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Preview of Regressions using the TI84 graphing calculator

Regressions using the TI84 graphing calculator

Created by
sam lashlee
Some questions in algebra and algebra 2 will ask for the equation of a curve or correlation coefficient. The r-value number describes both how well the equation of the curve fits and whether the graph is increasing or decreasing. The r- value will be positive if the graph is increasing and the r-value will be negative if the graph is decreasing. The closer the absolute value of r is to 1, the better the curve fits the data. An r-value of 1 means the curve fits the data perfectly and has a positi
Preview of Changing the Mean and Standard Deviation (AP/Non-AP Statistics)

Changing the Mean and Standard Deviation (AP/Non-AP Statistics)

Created by
David Prince
What happens to the mean and median of a distribution when we increase every element by 5? What happens to the standard deviation and interquartile range of a distribution when we multiple every element by 2? This discovery-based lesson helps students understand how manipulations of data affect summary statistics using the TI-84 graphing calculator.
Preview of Test or Quiz Error Analysis for AP Statistics Practice Exams: FRQ and MC

Test or Quiz Error Analysis for AP Statistics Practice Exams: FRQ and MC

Created by
Math with Ms Li
This error analysis includes prompts for students to correct their tests. It's aligned to the AP Statistics practice exams (multiple choice and free response questions).
Preview of AP Statistics Applying the Normal Distribution Practice

AP Statistics Applying the Normal Distribution Practice

Created by
Mr RC
This activity includes 1 guided practice scenario and 2 practice quizzes aligned to the AP Statistics course requirements for the normal distribution. A detailed answer key is included. Included topics include the Empirical Rule, calculating probabilities, understanding z-scores, and using the inverse norm
Preview of Theoretical and Experimental Probability (Algebra 2 - Unit 12)

Theoretical and Experimental Probability (Algebra 2 - Unit 12)

⭐⭐ This  Algebra 2 Honors lesson provides you with a  customizable and  fully-editable resource of guided student notes, practice set and daily lesson quiz that cover the topics for Theoretical and Experimental Probability.⭐⭐ ✅ Lesson 12.2 Theoretical and Experimental Probability is a two-day lesson with an emphasis on the learning objectives: ⭐ Find experimental probabilities ⭐ Find theoretical probabilities ✅  What is included in this resource?⭐ Guided Student Notes ⭐ Video Lesson Link for Di
Preview of Confidence Intervals and Hypothesis Testing (Algebra 2 - Unit 13)

Confidence Intervals and Hypothesis Testing (Algebra 2 - Unit 13)

⭐⭐ This  Algebra 2 Honors lesson provides you with a  customizable and  fully-editable resource of guided student notes, practice set and daily lesson quiz that cover the topics for Confidence Intervals and Hypothesis Testing.⭐⭐ ✅ Lesson 13.6 Confidence Intervals and Hypothesis Testing is a two-day lesson with an emphasis on the learning objectives: ⭐ Find confidence intervals for normally distributed data ⭐ Perform hypothesis tests on normally distributed data curve ✅  What is included in thi
Preview of Working with Samples (Algebra 2 - Unit 13)

Working with Samples (Algebra 2 - Unit 13)

⭐⭐ This  Algebra 2 Honors lesson provides you with a  customizable and  fully-editable resource of guided student notes, practice set and daily lesson quiz that cover the topics for Working with Samples.⭐⭐ ✅ Lesson 13.3 Working with Samples is a two-day lesson with an emphasis on the learning objectives: ⭐ Analyze experimental data to find sample proportions ⭐ Determine the margin of error ⭐ Determine bias and reliability of samples and categorize types of sampling from different scenarios ✅
Preview of ORGANIZING DATA IN STATISTICS

ORGANIZING DATA IN STATISTICS

Created by
Code Blue Math
This is a guided lecture that covers the basics of organizing data, including pie charts, pareto, histograms, ogives, frequency tables and move. The lecture notes use simple pictures, icons and examples to help students visualize the language. The lesson includes: Teacher Notes6-pages of SketchNotes completely filled in6-pages of SketchNotes with blanks for students to fill inA 3 Multi-part Question (3 page) Knowledge Check for formative assessmentThe answer key for the Knowledge CheckA print o
Preview of Math Posters: Permutations Combinations

Math Posters: Permutations Combinations

Created by
A R Mathematics
Math Posters: Permutations Combinations It is SIX colorful Math Posters to display in your classroom, it contains the definition of the permutations and combinations, the formulas , and great examples. MY OTHER MATH POSTERS Math Poster: SOHCAHTOA Math Posters : Real Numbers Math Posters : Tools For Algebra and Geometry (30 Posters) Math Posters :Triangles (20 Posters) Math Posters: 10 COMMON ERRORS IN ALGEBRA Math Posters: Keywords of addition,subtraction ,multiplication, and division
Preview of Statistics Steps on Hypothesis Testing Discovery Approach

Statistics Steps on Hypothesis Testing Discovery Approach

Having difficulty in teaching the steps on hypothesis testing? Does your student still confuse on the basic steps on hypothesis testing? Grab this Lecture- Activity -Quiz all in one all about steps on hypothesis testing. This includes, all the important points to remember. Easy to understand and student's learn it by discovering the meaning and concept by following this activity all through out. You don't need to teach long and keep on repeating for students who have difficulty in math. This inc
Preview of Statistics & Probability Chapter 1-6

Statistics & Probability Chapter 1-6

What’s Included:Guided Notes – Student-friendly notes with embedded examples, visual scaffolds, and prompts to apply vocabulary in real-life contexts. In‑Class Practice Activities – Engaging, scaffolded exercises where students apply definitions to authentic data scenarios. Homework Assignments – Follow-up practice mirroring class activities to reinforce mastery. Quizzes & Unit Test with Answer Keys – Multiple-choice and free-response questions assessing both conceptual understanding and procedu
Preview of Statistics & Probability Chapter 3

Statistics & Probability Chapter 3

hat’s Included:Guided Notes – Student-friendly notes with embedded examples, visual scaffolds, and prompts to apply vocabulary in real-life contexts. In‑Class Practice Activities – Engaging, scaffolded exercises where students apply definitions to authentic data scenarios. Homework Assignments – Follow-up practice mirroring class activities to reinforce mastery. Quizzes & Unit Test with Answer Keys – Multiple-choice and free-response questions assessing both conceptual understanding and procedur
Preview of Statistics & Probability Chapter 1

Statistics & Probability Chapter 1

What’s Included: Guided Notes – Student-friendly notes with embedded examples, visual scaffolds, and prompts to apply vocabulary in real-life contexts. In‑Class Practice Activities – Engaging, scaffolded exercises where students apply definitions to authentic data scenarios. Homework Assignments – Follow-up practice mirroring class activities to reinforce mastery. Quizzes & Unit Test with Answer Keys – Multiple-choice and free-response questions assessing both conceptual understanding and pro
Preview of Statistics & Probability Chapter 6

Statistics & Probability Chapter 6

What’s Included:Guided Notes – Student-friendly notes with embedded examples, visual scaffolds, and prompts to apply vocabulary in real-life contexts. In‑Class Practice Activities – Engaging, scaffolded exercises where students apply definitions to authentic data scenarios. Homework Assignments – Follow-up practice mirroring class activities to reinforce mastery. Quizzes & Unit Test with Answer Keys – Multiple-choice and free-response questions assessing both conceptual understanding and procedu
Preview of Statistics & Probability Chapter 5

Statistics & Probability Chapter 5

What’s Included:Guided Notes – Student-friendly notes with embedded examples, visual scaffolds, and prompts to apply vocabulary in real-life contexts. In‑Class Practice Activities – Engaging, scaffolded exercises where students apply definitions to authentic data scenarios. Homework Assignments – Follow-up practice mirroring class activities to reinforce mastery. Quizzes & Unit Test with Answer Keys – Multiple-choice and free-response questions assessing both conceptual understanding and procedu
Preview of Statistics & Probability Chapter 4

Statistics & Probability Chapter 4

What’s Included:Guided Notes – Student-friendly notes with embedded examples, visual scaffolds, and prompts to apply vocabulary in real-life contexts. In‑Class Practice Activities – Engaging, scaffolded exercises where students apply definitions to authentic data scenarios. Homework Assignments – Follow-up practice mirroring class activities to reinforce mastery. Quizzes & Unit Test with Answer Keys – Multiple-choice and free-response questions assessing both conceptual understanding and procedu
Preview of Statistics & Probability Chapter 2

Statistics & Probability Chapter 2

What’s Included:Guided Notes – Student-friendly notes with embedded examples, visual scaffolds, and prompts to apply vocabulary in real-life contexts. In‑Class Practice Activities – Engaging, scaffolded exercises where students apply definitions to authentic data scenarios. Homework Assignments – Follow-up practice mirroring class activities to reinforce mastery. Quizzes & Unit Test with Answer Keys – Multiple-choice and free-response questions assessing both conceptual understanding and procedu
Preview of STEM and LEAF PLOTS Full Digital Lesson | Self-Grading & Interactive Activities

STEM and LEAF PLOTS Full Digital Lesson | Self-Grading & Interactive Activities

STEM and LEAF PLOTS Full Digital Lesson | Self-Grading & Interactive ActivitiesEngage your students with this interactive, full digital lesson on Stem and Leaf Plots! Perfect for Grades 5-7, this no-prep resource is designed to help students organize, interpret, and analyze data using stem-and-leaf plots through self-paced learning and instant feedback. What’s Included?✅ Engaging, interactive slides explaining stem and leaf plots ✅ Self-marking quizzes and practice exercises ✅ Real-world da
Preview of Matching Histogram, Boxplots, Cumulative Frequency and Normality Plot

Matching Histogram, Boxplots, Cumulative Frequency and Normality Plot

This is lesson is designed for advanced college level statistics. Includes 2 pages of notes that show histograms, boxplots, cumulative relative frequency plots, and normal probability plots for an approximately normal set of data, a skewed right set of data, a skewed left set of data, and a uniform set of data. Includes 2 pages of matching practice, 2 versions of a quiz, 2 pages of matching cards, 1 blank template. Answers keys included for the practice and quizzes.
Preview of AP Statistics 2026 — The Crimson Hairline Collection

AP Statistics 2026 — The Crimson Hairline Collection

Created by
Rhee Math Lab
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ AP STATISTICS 2026 The Crimson Hairline Collection Coming June 15, 2026 from Rhee Math Lab ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ AP Statistics is at its best as one coherent course — not a binder assembled from sources that don't quite align. The Crimson Hairline Collection is that coherent course: Crimson Hairline slides, Crimson Charcoal Guided Notes, homework, and assessments all designed together for the new College Board CED go
Preview of TI-84 CALCULATOR ACTIVITY - Data, Scatterplots, Regression & Line of Best Fit

TI-84 CALCULATOR ACTIVITY - Data, Scatterplots, Regression & Line of Best Fit

This file includes four linear regression examples (all real-life data). The examples cover the following topics for the TI-84 graphing calculator: * Creating a scatterplot * Performing linear regression (finding the equation of the best-fit line) * Interpreting the slope of the equation * Calculating and interpreting the correlation coefficient * Predicting values (using the linear regression equation) The first example gives the step-by-step instructions to calculate all the necessary value
Preview of Misleading Charts and Graphs (Statistics)

Misleading Charts and Graphs (Statistics)

Created by
David Prince
Teaching students to deduce information provided in charts and graphs is an essential part of any math curriculum. However, what do you do when the graph itself provides misleading or false information? This lesson is a good way to get students to look critically at graphically displayed data and see through those who try to manipulate data for their own purposes.
Preview of Data Literacy & Statistics Interpretation Worksheets

Data Literacy & Statistics Interpretation Worksheets

Are you looking to transform your students from passive number-crunchers into sharp, critical thinkers? Go beyond rote memorization of formulas with this comprehensive Data Literacy and Statistics curriculum designed to build true analytical skills for the 21st century. In a world saturated with data, misinformation, and misleading graphs, statistical literacy is no longer optional—it's an essential life skill. This all-in-one digital resource is meticulously crafted for high school and introdu
Preview of Expected Value [Statistics & Probability] - Guided Lesson, Worksheets, Keys

Expected Value [Statistics & Probability] - Guided Lesson, Worksheets, Keys

How to find the expected value using the formula in statistics and probability. Students learn how to find the expected value of one event vs. multiple events, and using that value to solve Games of Chance problems (using expected value to understand the outcome of a game in which a player could either win or lose money in a game. Students in some of these real-world problems need prior knowledge of theoretical probability.---------------------------------- Check out my previous lessons:✫ Funda
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