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Preview of Box Plot Outlier 1.5xIQR Test using dice

Box Plot Outlier 1.5xIQR Test using dice

Created by
james kowalsky
Students roll dice and record how many throws it takes to roll "doubles." After 15 trials, the 5-number summary is calculated. Then outlier "fence posts" are computed, and then sketched, using the 1.5 IQR formula. A box plot is drawn and outliers - if any - are clearly plotted outside the fences. Note: If no student accumulates many rolls before rolling doubles - add your own pretend large outlier type result that you did at home.
Preview of AP Microeconomics | No Prep FRQs | Market Failures & Externalities |

AP Microeconomics | No Prep FRQs | Market Failures & Externalities |

FRQ #10 | Market Failures & Externalities | Public Goods and Policy Solutions🎨 TitleAP Microeconomics | Market Failures & Externalities | No Prep FRQ |Full Product Description🧠 Overview & PurposeStudents define and diagnose externalities | compute socially efficient quantity from a PMC | SMC | MB table | design a Pigovian tax | evaluate cap and trade | and justify public provision for public goods. ✏️ How It Can Be Used• Data solve for efficient output as a warm up • Policy comparison chart
Preview of AP Microeconomics | No Prep FRQs | Elasticity & Consumer Choice |

AP Microeconomics | No Prep FRQs | Elasticity & Consumer Choice |

FRQ #2 | Elasticity and Consumer ChoiceTitleAP Microeconomics | Elasticity & Consumer Choice | No Prep FRQ |Full Product Description🧠 Overview & PurposeStudents investigate how responsiveness to price changes shapes firm strategy and consumer behavior. They compute and interpret elasticity | apply the total revenue test | connect elasticity to pricing and promotions | and analyze how tax incidence depends on relative elasticities. ✏️ How It Can Be Used• AP exam practice set | timed or untimed
Preview of Pro Athlete Salary Z-Score & Percentile Activity – Real Data Statistics Practice

Pro Athlete Salary Z-Score & Percentile Activity – Real Data Statistics Practice

Created by
Straight A Math
Make statistics exciting with this real-world sports data activity! Students will research the salaries of 10 professional athletes from a sport of their choice, then apply statistical concepts to analyze the data. Students will: Calculate the mean and standard deviation of their salary sample Compute the z-score for each athlete’s salary Determine the percentile ranking for each z-score Answer five analysis questions to deepen their understanding and interpretation This engaging activity b
Preview of IB Math 4.2.2 Grouped Data Frequency Density Lesson Guided Notes HW KEY

IB Math 4.2.2 Grouped Data Frequency Density Lesson Guided Notes HW KEY

Help students master grouped data with an IB‑aligned, student‑friendly mini‑unit that teaches how to build grouped frequency tables, when and how to use frequency density with unequal class widths, how to draw and read frequency density histograms, and how to estimate the mean using midpoints. Clear objectives and examples keep the focus tight: organize data, compute frequency density, create/read histograms, and estimate the mean from grouped data. Why it helps students Walks them from
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