Computer Programming
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Complete Teach Ready Bundle for Data Rookies Labs: Data Mining with Orange
Teach Data Mining Without Code – Everything You Need, Ready to GoNo programming. No prep. No guesswork. *** SEE PREVIEW FOR DETAILS ABOUT THIS PROGRAM (ABOVE) *** Note this is for the LAB EXERCISE portion of the curriculum which may be used with or independently of the content textbook. (details in preview) This all-in-one, ready-to-teach bundle gives you everything you need to deliver a complete data mining curriculum using Orange, a free, visual data analysis platform built for beginners (wor
9th - 12th, Adult Education, Higher Education
Business, Computer Science - Technology, Statistics
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with R
Teach Ready Resource Bundle for Data Rookies Labs: Intro to Analytics with RPLEASE note this accompanies this book available here: Data Rookies LABS: Intro to Analytics with R - Instructor PDF edition**** VISIT PREVIEW LINK ABOVE FOR DETAILED INFORMATION ************ Teach hands-on data analytics with R confidently and efficiently.This all-in-one instructor bundle provides comprehensive teaching resources to support the Data Rookies Labs: Introduction to Analytics with R workbook (sold separat
9th - 12th, Adult Education, Higher Education
Business, Computer Science - Technology, Statistics
Box Plot Outlier 1.5xIQR Test using dice
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.
10th - 12th
Statistics
Pro Athlete Salary Z-Score & Percentile Activity – Real Data Statistics Practice
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
10th - 12th
Applied Math, Money Math, Statistics
CCSS
HSS-ID.A.4
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