MDM4U - Grade 12 Math - Mathematics of Data Management - FULL COURSE!
Mr K's Science and Math Shop
91 Followers
Grade Levels
12th
Subjects
Resource Type
Standards
CCSSHSS-ID.A.1
CCSSHSS-ID.A.2
CCSSHSS-ID.A.3
CCSSHSS-ID.A.4
CCSSHSS-ID.B.5
Formats Included
- Zip
Pages
Varies by Lesson
Mr K's Science and Math Shop
91 Followers
Description
This is my complete course package for the Grade 12 Data Management (MDM4U) course following the Ontario Secondary Mathematics Curriculum. This package includes:
- Smart Notebook and PowerPoint lessons with Student PDF versions for every lesson of every unit in the course. (I have also included versions with my notes for your use)
- A complete student workbook that covers every lesson in the course. Each lesson concludes with appropriate workbook sections, so you can use whatever textbook you want!
- Appropriate unit tests/quizzes/assignments for each unit.
- A complete culminating task on 2-variable correlations
- A complete final exam with associated review package.
I hope you'll enjoy using this course package as much as I do!
If you have questions please don't hesitate to ask. I'm always happy to help.
Total Pages
Varies by Lesson
Answer Key
Included
Teaching Duration
1 hour
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Standards
to see state-specific standards (only available in the US).
CCSSHSS-ID.A.1
Represent data with plots on the real number line (dot plots, histograms, and box plots).
CCSSHSS-ID.A.2
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
CCSSHSS-ID.A.3
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
CCSSHSS-ID.A.4
Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
CCSSHSS-ID.B.5
Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.
Reviews
Questions & Answers
91 Followers
