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MDM4U 2018-2019 Semester 1

Page history last edited by Steve Sweeney 5 years, 10 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:

  1. MCR3U, Functions, Grade 11, University Preparation; or
  2. 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
       

J18

J17

J16

Presentations student presentation order  
  Lab time: Summative    
D20 Advanced Techniques for Data Analysis Video: Linear & Quadratic Regression (LOBF)
 
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
  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
  1. Census of Canada
  2. CANSIM
  3. 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
  Unit 5: One-Variable Data Analysis
   
       
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

 
  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

   
O15

Probability Distributions & Expected Value

note

  p.151 # 1, 4, 5, 6, 9, 13, 17*
  Unit 3: Probability Distributions for Discrete Variables
   
O12 Test: Permutations & Combinations    

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

   
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)

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)
  Unit 2: Permutations & Combinations
   
S17 Test: Probability    
S14
Review: Probability
   
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
  Unit 1: Introduction to Probability    
S04
Course Intro
 

"Getting Started" from Ch.1, 2, 3

(hand in tomorrow)

 

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