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MDM4U 2018-2019 Semester 1
Page history
last edited
by Steve Sweeney 5 years, 3 months ago
MDM4U - Data Management (University Preparation)
This course broadens students' understanding of mathematics as it relates to managing data. Students will apply methods for organizing and analysing large amounts of information; apply counting techniques, probability, and statistics in modelling and solving problems; and carry out a data management investigation that integrates the expectations of the course and encourages perseverance and independence. Students planning to pursue university programs in business, the social sciences, or the humanities will find this course of particular interest.
Prerequisites:
- MCR3U, Functions, Grade 11, University Preparation; or
- MCF3M, Functions and Applications, Grade 11, University/College Preparation
Mark Breakdown:
Unit Tests, Assignments, Quizzes, and other term evaluations: 70%
Project and Final Exam: 30%
This page will have a daily breakdown of the course. Most recent classes are at the top of the page, while the older classes get pushed to the bottom.
The beginning of each unit will be marked in blue.
Evaluations (e.g., tests, assignments, quizzes) will be marked in red.
Summative Project Timeline
Item
|
Due Date
|
Notes
|
| Thesis Statement |
Friday, Dec.14, 2018 |
|
| Raw Data |
Thursday, Dec.20, 2018 |
|
| Report (presentation format) |
Friday, Jan.11, 2019 |
|
| Presentations |
Jan.14 to Jan.18 |
|
| Date |
Topic / Lesson |
Extra Resources
|
Assigned Work
|
|
Tues,
Jan.29
|
Final Exam |
Probability with Sets Worksheet
Answers
Probability & Combination Problems
Answers
|
p.138 #1-5,10
p.210 #4,8
p.308 #1,2a,4
p.311 #2,3,5
p.349 #3,6-8
p.390 #1-5
Review Previous Tests & Quizzes |
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|
|
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J18
J17
J16
|
Presentations |
student presentation order |
|
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Lab time: Summative |
|
|
| D20 |
Advanced Techniques for Data Analysis |
Video: Linear & Quadratic Regression (LOBF)
|
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| D19 |
Uses and Misuses of Data
class note
|
|
p.422 # 1 - 4, 8, 9a
|
| D18 |
Dynamic Analysis of Two-Variable Data
class note
|
Video: LOBF & Residual Calculations |
read p.406 - 412
- example with outlier
- example with hidden variable
p.413 # 1 - 3, 4 - 6 (spreadsheet)
|
| D17 |
Cause and Effect
presentation
|
|
Read p.392-399
Complete - Investigate Pg. 392 (1-7)
p.399 #1-4,8,11-13
|
| D14 |
Line of Best Fit
class note
|
|
p.390 # 1 - 3, use tech for 5, 6, 7
|
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Unit 7: Two-Variable Data Analysis
|
|
|
| D11 |
Test: Probability Distributions for Continuous Variables |
|
|
| D10 |
Review |
|
p.372 # 2, 3ac, 4, 6 - 12 |
| D07 |
Summative: Intro & Discussion |
|
|
|
D06
|
Review |
|
p.372 # 2, 3ac, 4, 6 - 12 |
| D05 |
Connecting Continuous to Discrete Distributions
class note
|
|
p. 370 # 1 to 3, 5, 8, 10 |
| D04 |
Confidence Intervals
class note
|
|
p.359 # 4, 5, 7, 9, 11, 14 |
| D03 |
work period:
Normal Distributions & z-Scores
|
|
p.349 # 3, 4, 5 (tech), 7, 8, 9, 10
(7a solution is 0.0228 using z-score table)
(8b solution is 5)
|
| N30 |
Normal Distributions & z-Scores
class note
|
z-Score Tables
How to Use a z-Score Table
Plinko Simulator
|
p.341 # 1 - 3, 6, 8, 10, 12 |
| N29 |
Continuous Random Variables
class note
|
|
p.327 # 1, 2, 3, 6 - 9, 12 |
| |
Unit 6: Probability Distributions for Continuous Variables |
|
|
| N28 |
Test: One-Variable Data Analysis
(+ some questions from Organization of Data for Analysis)
|
|
|
| N27 |
Review |
|
p.308 # 1, 2a, (2bc)*, 4, 5, 7*, 8 - 10
p.311 # 2, 3, 5, 7
* use spreadsheet
================
p.244 #1, 2, 4, 5, 7
p.246 #1, 3, 4
|
| N26 |
Analyzing Data from Statistics Canada |
- Census of Canada
- CANSIM
- Differences in Life Expectancy
|
Read p.302 - 305
Complete "Investigate" # 1 - 3
(see "Extra Resources")
p.305 # 1 - 4, 7
|
| N21 |
Interpreting Statistical Summaries
class note
|
|
p.298 # 3, 6 - 9, 11 |
| N20 |
Measures of Spread - Using Technology |
CANSIM |
- see Google Classroom for sample sheet
- create your own sheet using a larger data set
|
| N19 |
Measures of Spread - Standard Deviation & z-scores
class note
|
|
|
| N16 |
Measures of Spread - Percentiles, Quartiles, Box Plots
class note
|
|
p.275 # 1 - 3, 4, 5, 9, 11, 12 |
| N14 |
Measures of Central Tendency
note
|
|
p.263 #1 - 8, 13, 15, 16 |
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Unit 5: One-Variable Data Analysis
|
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|
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| N13 |
Bias
class note
|
Top20Movies
Read p.233-240
|
p.240 # 1, 2, 6, 8,13 - 15 |
| N12 |
Interpreting & Analyzing Data
handout
|
Ottawa Census Data
CANSIM
CIA - The World Factbook
|
p.230 # 1 – 5, 6abc, 8ab |
| |
|
|
|
| N07 |
work period, room 212
- complete casino report
- catch up on assigned work
|
|
|
N06
|
Principles of Data Collections
no note, see handout
|
handout
|
p.194 # 4, 5
p.210 # 1 – 4, 8, 10
|
N05
|
Data Concepts & Graphical Summaries
note
|
Ontario Names - Male
Ontario Names - Female
|
|
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Unit 4: Organization of Data for Analysis |
|
|
|
N02
N01
|
Casino Games |
|
|
| O31 |
work period (Casino Games) |
|
|
| O30 |
Test: Probability Distributions |
|
|
| O29 |
Review |
|
p.188 #1 - 9, 11 - 14
|
| O26 |
Comparing Probability Distributions
note
|
|
p.185 # 1 - 4, 10, 11, 15 |
|
O24
O23
|
work period (Casino Games) |
|
|
| O22 |
Hypergeometric Distributions
note
|
|
p.178 # 1, 3, 510, 14
note: text answer to 14 off by factor of 4
|
| O19 |
Lab Activity
- continue Spreadsheets work
- Games Fair introduction
|
|
|
| O18 |
Binomial Distributions
note
|
|
p.167 # 1, 2, 4, 5a (by hand), 5b (tech), 7,
8, 9, 12, 13, 16, 17
Feel free to use a spreadsheet for any questions |
| O17 |
Uniform Distributions
note
|
Deal or No Deal |
|
| O16 |
Lab Activity - Spreadsheets
Probability Distributions & Expected Value
|
|
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O15
|
Probability Distributions & Expected Value
note
|
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p.151 # 1, 4, 5, 6, 9, 13, 17*
|
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Unit 3: Probability Distributions for Discrete Variables
|
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| O12 |
Test: Permutations & Combinations |
|
|
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O11
O10
|
Review: Permutations & Combinations |
|
Permutations:
p.96 # 1, 4, 6, 7, 9, 11, 12, 13, 15
Combinations:
p.134 # 1-3, 5, 8, 9, 11, 13, 14, 15, 17 |
| O09 |
Probabilities with Combinations
take up homework
|
|
|
O04
|
Applications of Pascal's Triangle
questions from worksheet
|
|
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| O03 |
Pascal's Triangle
class note
|
|
p.126 # 1, 2, 4, 8, 9, 10, 11
|
| O02 |
Solving Problems with Combinations
class note
|
|
p.120 # 1, 4
# 5, 6, 7, 9, 11, 12, 14, 16
# 18
|
| O01 |
Combinations
class note
|
|
p.113 # 2 5
# 8, 9, 12, 15, 17, 18
|
| S28 |
work period |
|
|
| S27 |
Permutations with Non-Ordered Elements
note
|
|
p.108 # 4, 5
# 6, 9, 11, 13, 14, 15
# 18, 19
Corrections: # 18 (960)
|
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S26
S25
|
Permutation Problems
note
|
|
p.93 # 1 - 4 (warm up, if needed)
# 5, 6, 8, 9, 10, 13, 14, 17, 19, 21
# 20*, 23* |
| S20 |
Rule of Sum
note
|
|
p.86 # 5, 7, 9a, 10, 11, 15, 18*
|
| S19 |
Permutations & Factorial
note
|
|
p.80 # 2, 6, 8, 9, 10, 13, 14, 15, 17* |
S18
|
Organized Counting
Fundamental Counting Principle
note
|
|
p.68 # 3 - 6, 8, 12, 14*
p.73 # 3, 5, 7, 13, 14, 22* (see 15a for help)
|
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Unit 2: Permutations & Combinations
|
|
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| S17 |
Test: Probability |
|
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S14
|
Review: Probability
|
|
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| S11 |
Independent & Dependent Events
note
|
|
p.54 # 4 - 8, 10
|
| S10 |
Mutually Exclusive Events & Venn Diagrams
note
|
|
p.42 # 3, 5, 6 - 9, 10, 14*
|
| S06 |
Theoretical Probability
note
|
|
p.24 # 4 - 7, 9, 10, 14, 15, 16* |
| S05 |
Experimental Probability
note
|
|
p.13 # 3, 4, 7, 6 or 8 or 9, 11, 12 |
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Unit 1: Introduction to Probability |
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S04
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Course Intro
|
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"Getting Started" from Ch.1, 2, 3
(hand in tomorrow)
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MDM4U 2018-2019 Semester 1
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