MDM4U_B Per 1 WEEK 1 Tuesday Feb 3 2015 UNIT 1: Organizing Data for Analysis 1) THERE ARE DIFFERENT TYPES OF DATA THAT CAN BE SURVEYED. 2) DATA CAN BE EFFECTIVELY DISPLAYED IN APPROPRIATE TABLES AND GRAPHS. 3) BIAS CAN ARISE FROM THE WAY A SAMPLE IS COLLECTED, FROM THE WORDING OF A QUESTION, OR FROM THE INTENT OF THOSE COLLECTING THE DATA. 4) TECHNOLOGY CAN BE USED TO ANALYZE AND DISPLAY DATA. LG: I understand the categories of different types of data, and can distinguish between quantitative/qualitative, continuous/discrete and ordinal/nominal. Hmk) Find a representation of data MDM4U_B Per 1 WEEK 1 Wednesday Feb 4 2015 Lesson - Types of Graphs LG: I know the different types of graphs and their characteristics. I know when each type is appropriate. Hmk) Graphs with discussion MDM4U_B Per 1 WEEK 1 Thursday Feb 5 2015 Lesson - Sampling Techniques LG: I understand different types of sampling techniques. I know which techniques are biased, and why. Video: Types of Sampling Hmk) p117 1-4, 7-9 MDM4U_B Per 1 WEEK 1 Friday Feb 6 2015 Lesson - Bias in Sampling LG: I understand how bias can arise in sampling, and can identify and correct the bias. Video: Four Types of Bias Hmk) p123 1-3, 5 MDM4U_B Per 1 WEEK 2 Monday Feb 9 2015 Lesson - Exploring and Retrieving Data Using E-Stat LG: I can navigate E-Stat. I can use it to make tables and graphs. Hmk) Worksheet on the Computers MDM4U_B Per 1 WEEK 2 Tuesday Feb 10 2015 Lesson - Evaluating Websites LG: I know how to evaluate a website, in terms of its bias and reliability. Hmk) Handout to handin MDM4U_B Per 1 WEEK 2 Wednesday Feb 11 2015 Lesson - Using Technology to Graph LG: I can make tables and graphs using software technology. Hmk) Handout activity MDM4U_B Per 1 WEEK 2 Thursday Feb 12 2015 Lesson - Unit 2 - One Variable Statistics: Measures of Central Tendency (Mean, Median and Mode) UNIT 2: One Variable Statistics 1) STATISTICS TELL US USEFUL INFORMATION ABOUT A GROUP OF OBJECTS/ITEMS/PEOPLE AS WHOLE. 2) STATISTICS CAN BE CALCULATED BY HAND OR USING TECHNOLOGY 3) STATISTICS INCLUDE MEAN, MEDIAN, MODE, STANDARD DEVIAITION, Q1, Q3, MINIMUM AND MAXIMUM; AS WELL AS BOX-AND-WHISKER PLOTS AND HISTOGRAMS. 4) STATISTICS MUST BE CAREFULLY ANALYZED AND INTERPRETED TO PRESENT THEIR TRUE MEANING. LG: I know what mean, median and mode are. I can calculate mean, median and mode. Videos: Calculating Mean Median and Mode by Hand, Draw a Histogram, Calculate Mean Median and Mode for Grouped Data, Calculate Mean for Weighted Data Hmk) p133 1 pick 1, 3-5, 8, 10, 11
MDM4U_B Per 1 WEEK 2 Friday Feb 13 2015 Lesson - Unit 2: Quartiles and Interquartile Ranges LG: I know what quartiles are, how to calculate them, and how to interpret their values for a set of data. Video: Calculate Quartiles, Draw a Box and Whisker Plot Hmk) p133 9 MDM4U_B Per 1 WEEK 1 Monday Feb 16 2015 HOLIDAY - NO CLASSES MDM4U_B Per 1 WEEK 1 Tuesday Feb 17 2015 Lesson - Sampling Project MDM4U_B Per 1 WEEK 1 Wednesday Feb 18 2015 Lesson - Sampling Project MDM4U_B Per 1 WEEK 1 Thursday Feb 19 2015 Lesson - Sampling Project MDM4U_B Per 1 WEEK 1 Friday Feb 20 2015 Lesson How High Can You Jump LG: I can gather data, find its statistics and make a box-and-whisker plot or graph to help interpret the results. Video: Draw a Histogram, Draw a Box and Whisker Plot Hmk) Worksheet MDM4U_B Per 1 WEEK 2 Monday Feb 23 2015 Lesson - Standard Deviation LG: I can use a table to calculate the standard deviation of a set of data. Video: Calculate Standard Deviation by Hand Hmk) p148 1, 6a-d MDM4U_B Per 1 WEEK 2 Tuesday Feb 24 2015 Lesson All Charged Up LG: I can use my knowledge of mean, median, mode, standard deviation, box-and-whisker plots and histograms to make a thorough analysis of a set of data. Hmk) Handin at the end of class MDM4U_B Per 1 WEEK 2 Wednesday Feb 25 2015 Lesson Standard Deviation of Grouped Data LG: I can calculate the standard deviation for data that is grouped in intervals. Hmk) Practice Sheet & 1-Variable Statistics Review MDM4U_B Per 1 WEEK 2 Thursday Feb 26 2015 Lesson Graphing Calculator and Excel LG: I can determine the mean, median, mode, standard deviation, Q1, Q3, min and max using a graphing calculator. LG: I can draw a box-and-whisker plot and a histogram using a graphing calculator. Video: Calculating 1 Var Stats Using the TI83 Hmk) Review handout and p151 2abd,11,12,14,16,18ai; p154 1-4,6 MDM4U_B Per 1 WEEK 2 Friday Feb 27 2015 Hmk) p151 2abd,11,12,14,16,18ai; p154 1-4,6
MDM4U_B Per 1 WEEK 1 Monday Mar 2 2015 Hmk) p151 2abd,11,12,14,16,18ai; p154 1-4,6 MDM4U_B Per 1 WEEK 1 Tuesday Mar 3 2015 Lesson - Intro to Regression (by Hand) & Correlation Coefficient (r) UNIT 3: Two Variable Statistics 1) CORRELATION REFERS TO HOW WELL/STRONGLY TWO QUANTITIES ARE RELATED. 2) A LINE/CURVE OF BEST FIT CAN BE MADE BY HAND OR TECHNOLOGY, AND THEN USED TO ANALYZE THE DATA. 3) THE CORRELATION COEFFICIENT GIVES A RATING ON HOW STRONG THE CORRELATION IS. 4) THERE IS A BIG DIFFERENCE BETWEEN THINGS THAT CAUSE EACH OTHER VERSUS THOSE THAT ARE ONLY CORRELATED OR ACCIDENTALLY RELATED. LG: I know what correlation is. I understand what the correlation coefficient signifies. I can find the correlation coefficient by hand. Video: Determine the Equation for a Line of Best Fit (review from Grade 9), Calculation Correlation Coefficient by Hand Hmk) p168 1-3,6,12, Olympic Data MDM4U_B Per 1 WEEK 1 Wednesday Mar 4 2015 MDM4U_B Per 1 WEEK 1 Thursday Mar 5 2015 Lesson - Calculating the Line of Best Fit LG: I can calculate the equation of a line of best fit. Video: Determine the Equation for a Line of Best Fit (review from Grade 9), Calculate Line of Best Fit by Hand Hmk) p180 1,2,5 and Olympic Data MDM4U_B Per 1 WEEK 1 Friday Mar 6 2015 Lesson - Consolidating LG: I can apply my knowledge about correlation, correlation coefficient and line of best fit. Hmk) A Mark Improved Worksheet MDM4U_B Per 1 WEEK 2 Monday Mar 9 2015 Lesson - Correlation is not Causation, And Linear Regression on TI-83 LG: I understand the difference between causation, correlation, and accidental. I can create a line of best fit on a graphing calculator. Video: LinReg - Getting a Line of Best Fit on the TI-83 Hmk) p180 5-8, 13 MDM4U_B Per 1 WEEK 2 Tuesday Mar 10 2015 Lesson - Non-Linear Regression on TI-83 LG: I can create a equation of best fit for non-linear data. Video: Determine the Best Equation for Data (Picking between LinReg, QuadReg and ExpReg) Hmk) p191 1-5, 7 MDM4U_B Per 1 WEEK 2 Wednesday Mar 11 2015 Lesson - Analyzing Relationships Linear, Exponential and Quadratic Analysis LG: I can use my knowledge of different types of relationships to analyze word problems. Hmk) Worksheet MDM4U_B Per 1 WEEK 2 Thursday Mar 12 2015 Lesson - Regression in Excel LG: I can graph and do a line of best fit using computer software. Video: Using Fathom, Determine the Best Equation for Data Hmk) Worksheet
MDM4U_B Per 1 WEEK 1 Monday Mar 23 2015 Lesson - Car Data Activity in Excel LG: I can apply my knowledge of line of best fit and technology to solve an extended word problem. Video: Using Fathom, Determine the Best Equation for Data MDM4U_B Per 1 WEEK 1 Tuesday Mar 24 2015 Hmk) Worksheet MDM4U_B Per 1 WEEK 1 Wednesday Mar 25 2015 MDM4U_B Per 1 WEEK 1 Thursday Mar 26 2015 Lesson - The Fundamental Counting Principle UNIT 4: Permutations 1) WE CAN USE MATH TO COUNT THE NUMBER OF POSSIBLITIES IN A SITUATION. 2) WHEN MAKING AN ARRANGEMENT, THE ORDER MATTERS. WE CALL THE NUMBER OF POSSIBILITIES "PERMUTATIONS". 3) PERMUTATIONS USE FACTORIAL NOTATION - AN EXCLAMATION MARK AFTER A NUMBER, WHICH MEANS TO MULTIPLY THAT NUMBER TIMES EACH NUMBER LOWER THAN IT, DOWN TO ONE. LG: I know what the fundamental counting principle is. I can use it to solve problems. Video: Using The Fundamental Counting Principle Hmk) p229 1-4,8,10,11,13,16,21 MDM4U_B Per 1 WEEK 1 Friday Mar 27 2015 Lesson - Factorial Notation and Permutations LG: I know what factorials are, and I can use factorial notation. I understand what permutations are, when to use them, and how to use them to solve problems. Video: Determine Permutations Hmk) p239 1-4,7,9,12,14,16 MDM4U_B Per 1 WEEK 2 Monday Mar 30 2015 Lesson - Permutations with Like Objects LG: I know how to determine permutations when objects repeat or are identical. Video: Determine Permutations With Like Objects Hmk) p245 1,2,4,6,7,10 MDM4U_B Per 1 WEEK 2 Tuesday Mar 31 2015 Lesson - Final Project Work Period MDM4U_B Per 1 WEEK 2 Wednesday Apr 1 2015 Lesson - Final Project Work Period MDM4U_B Per 1 WEEK 2 Thursday Apr 2 2015 Lesson - Pascal's Triangle LG: I know Pascal's Triangle, its notation, how it works, and I can use its method to count pathways. Video: Working With Pascal's Triangle, Permutations - Counting the Number of Paths Hmk) p251 1 to row 8, 2-4; p256 1,2c,3,4,5,7,14 FRIDAY APR 3 & MON APR 6 HOLIDAY NO CLASSES MDM4U_B Per 1 WEEK 1 Tuesday Apr 7 2015 Support group - post 2 docs ; Lesson group review activity Hmk) p260 1-4,6-12,15; p261 1,2ac,4-6
MDM4U_B Per 1 WEEK 1 Wednesday Apr 8 2015 MDM4U_B Per 1 WEEK 1 Thursday Apr 9 2015 Lesson - Venn Diagrams UNIT 5: Combinations 1) VENN DIAGRAMS ARE A VISUAL TOOL USED TO DISPLAY HOW DIFFERENT CHOICES OVERLAP AND RELATE. 2) COMBINATIONS, UNLIKE PERMUTATIONS, ARE WHEN WE ARE CHOOSING OBJECTS AND ORDER DOES NOT MATTER. 3) THE BINOMIAL THEOREM AND PASCAL'S TRIANGLE CAN BE EXPRESSED USING COMBINATION NOTATION. LG: I understand what a Venn Diagram is. I can draw it, calculate its values, and use the notation correctly. Video: Drawing Venn Diagrams Hmk) p270 1-4,6,9 MDM4U_B Per 1 WEEK 1 Friday Apr 10 2015 Lesson - Combinations LG: I know what combinations are, and how they differ from permutations - for combinations, order does not matter. Video: Determine Combinations Hmk) p279 1-9,11-13,19 MDM4U_B Per 1 WEEK 2 Monday Apr 13 2015 Lesson - Problem Solving with Combinations LG: I can solve for combinations when the number of items to be selected is unspecified. I know when to use fundamental counting principle, permutations, combinations and other techniques. Video: Problem Solving With Combinations, Combinations Word Problem, Determine the Number of Divisors Hmk) p286 1-5,7,8,10,11,15 MDM4U_B Per 1 WEEK 2 Tuesday Apr 14 2015 Lesson - Final Project Work Period Quiz MDM4U_B Per 1 WEEK 2 Wednesday Apr 15 2015 * CAMERA DAY FILMING * Lesson - Final Project Work Period MDM4U_B Per 1 WEEK 2 Thursday Apr 16 2015 Lesson - Display Day Per 2 - Lunch - Per 3 Test Wed MDM4U_B Per 1 WEEK 2 Friday Apr 17 2015 Lesson - Binomial Theorem LG: I can work with binomial theorem using combination notation. Video: Using Binomial Theorem (review), Binomial Theorem Using Combinations Hmk) p293 1-4,8,9abc,11a,12 MDM4U_B Per 1 WEEK 1 Monday Apr 20 2015 Video: Number of Ways - When to Use What Support group - post 2 docs ; Lesson group review activity Hmk) p296 1,3,5-13,16bc,19,23 MDM4U_B Per 1 WEEK 1 Tuesday Apr 21 2015 Hmk) p296 1,3,5-13,16bc,19,23
MDM4U_B Per 1 WEEK 1 Wednesday Apr 22 2015 MDM4U_B Per 1 WEEK 1 Thursday Apr 23 2015 Lesson - Intro to Probability UNIT 6: Probability 1) PROBABILITY IS JUST THE NUMBER OF WAYS AN EVENT CAN HAPPEN OVER THE TOTAL NUMBER OF POSSIBILITIES. 2) ODDS IN FAVOUR MEAN THE PROBABILITY OF IT HAPPENING DIVIDED BY THE PROBABILITY OF IT NOT HAPPENING; ODDS AGAINST IS THE REVERSE. 3) PERMUTATIONS AND COMBINATIONS HELP US DETERMINE THE NUMBER OF WAYS AN EVENT CAN HAPPEN. 4) SPECIAL CARE MUST BE TAKE IF EVENTS ARE NOT INDEPENDENT OR NOT MUTUALLY EXCLUSIVE WHEN FINDING THEIR COMBINED PROBABILITY. LG: I know what probability means. I know the difference between theoretical and experimental probability. I can use my knowledge from previous units to calculate probabilities. Video: Probability Using Counting Techniques, Finding the Probability with Two Dice, Probability Word Problem 1, Probability Challenging Word Problem Hmk) p312 1,4,6,7,10 MDM4U_B Per 1 WEEK 1 Friday Apr 24 2015 PA DAY NO CLASSES MDM4U_B Per 1 WEEK 2 Monday Apr 27 2015 Lesson - Odds LG: I know what odds are. I know the difference between odds in favour and odds against. I can calculate odds given probabilities; and I can calculate probabilities given odds. Videos: Odds in Different Cases, Odds When Drawing Cards Hmk) p318 1-4,6,9,10-12 MDM4U_B Per 1 WEEK 2 Tuesday Apr 28 2015 * CAMERA DAY FILMING * Lesson - Probablility and Counting Theory LG: I know how to incorporate combinations when working with probabilities. Videos: Probability in Selecting a Committee 1, Probability in Selecting a Committee 2 Hmk) p324 3,5-8,10,15 MDM4U_B Per 1 WEEK 2 Wednesday Apr 29 2015 Lesson - Probability and Counting Theory LG: I know how to incorporate combinations when working with probabilities. Videos: Probability in Selecting a Committee 1, Probability in Selecting a Committee 2 Quiz Hmk) p324 1-3,5-9,10,15,16 MDM4U_B Per 1 WEEK 2 Thursday Apr 30 2015 Lesson - Independent and Dependent Events LG: I know what independent and dependent events are. I can calculate probabilities for both. Hmk) p334 1-7,10,11,18 MDM4U_B Per 1 WEEK 2 Friday May 1 2015 Lesson - Mutually Exclusive LG: I know what mutually exclusive means. I can know how to calculate the probability if two events are not mutually exclusive. Video: Mutually Exclusive or Not - Determine Probability Hmk) p340 2-5,11,12,15
MDM4U_B Per 1 WEEK 1 Monday May 4 2015 Hmk) p357 1,2,4,5,6,8-11,13-16 MDM4U_B Per 1 WEEK 1 Tuesday May 5 2015 Hmk) p357 1,2,4,5,6,8-11,13-16 MDM4U_B Per 1 WEEK 1 Wednesday May 6 2015 MDM4U_B Per 1 WEEK 1 Thursday May 7 2015 Lesson - Probability Distribution & Binomial Distribution UNIT 7: Probability Distributions 1) WE CAN LOOK AT A LIST OF POSSIBLE OUTCOMES AS A PROBABILITY DISTRIBUTION. 2) THERE ARE DIFFERENT TYPES OF DISTRIBUTIONS, EACH WITH ITS OWN FORMULAE FOR PROBABILITY AND EXPECTED VALUE. 3) THE EXPECTED VALUE TELLS US THE AVERAGE OF ALL POSSIBLE OUTCOMES. LG: I know what probability distributions are. For discrete distributions, I can calculate the probabilities and the expected value. Videos: Probability Distributions - Calculating Expected Value, Probability Distributions - Comparing Expectations Hmk) p374 1-4,6,8-10,16,19 MDM4U_B Per 1 WEEK 1 Friday May 8 2015 Lesson - Binomial Distribution LG: I know what the binomial distribution represents, how to calculate its probabilities, and how to find its expected value. Videos: Binomial Distribution Table, Binomial Distribution Word Problem 1, Binomial Distribution Word Problem 2 Hmk) p385 1-3,5,7-10,13 MDM4U_B Per 1 WEEK 2 Monday May 11 2015 Lesson - Geometric Distribution LG: I know what the geometric distribution represents, how to calculate its probabilities, and how to find its expected value. Videos: Geometric Distribution Table, Geometric Distribution Word Problem Hmk) p394 1-5,7,8,9,11,12 MDM4U_B Per 1 WEEK 2 Tuesday May 12 2015 Lesson - Hypergeometric Distribtuion LG: I know what the hypergeometric distribution represents, how to calculate its probabilities, and how to find its expected value. Videos: Hypergeometric Distribution Table, Hypergeometric Distribution Word Problem 1, Hypergeometric Distribution Word Problem 2 Hmk) p404 1-3,7-9,12 MDM4U_B Per 1 WEEK 2 Wednesday May 13 2015 *** CAMERA FILMING DAY *** Hmk) p406 2,3,5,6,7,9-12,14-20 + Ch Test MDM4U_B Per 1 WEEK 2 Thursday May 14 2015 *** MIDMAN CHECKIN *** Hmk) p406 2,3,5,6,7,9-12,14-20 + Ch Test MDM4U_B Per 1 WEEK 2 Friday May 15 2015 Lesson Test MDM4U_B Per 1 WEEK 1 Monday May 18 2015 HOLIDAY - NO CLASSES MDM4U_B Per 1 WEEK 1 Tuesday May 19 2015 Lesson - Properties of the Normal Distribution UNIT 8: The Normal Distribution 1) THE NORMAL DISTRIBUTION HAS SEVERAL KEY PROPERTIES THAT ARE USEFUL. 2) WE CAN TAKE ANY NORMAL DISTRIBUTION AND TRANSFORM ITS VALUES TO THE BASE NORMAL DISTRIBUTION. THIS ALLOWS US TO THEN USE A LOOK-UP TABLE OF Z-SCORES TO MAKE PREDICTIONS ABOUT OUR ORIGINAL DISTRIBUTION. 3) CONFIDENCE INTERVALS ALLOW US TO MATHEMATICALLY STATE HOW LIKELY OUR PREDICTIONS ARE TO BE CORRECT. LG: I am familiar with the properties of the normal distribution. I know what z-scores are. I can use z-scores to find probabilities and properties of data in a normal distribution. Video: Normal Distribution - Determine Probability Using Z-Scores Hmk) p430 1-5, 7-10 MDM4U_B Per 1 WEEK 1 Wednesday May 20 2015 Lesson - Normal Sampling and Modelling LG: I can work with z-scores to determine percentages and percentile ranks. Video: Normal Distribution - Determine Probability Using Z-Scores Hmk) p439 3,8,12
MDM4U_B Per 1 WEEK 1 Thursday May 21 2015 Lesson - Normal Approximation to the Binomial Distribution LG: I understand how to use the normal distribution to make reasonable predictions about discrete data. Video: Normal Approximation to the Binomial Distribution, Compare Normal Approximation to the Binomial Theorem Hmk) p449 1,2,4-7,8,9,10 MDM4U_B Per 1 WEEK 1 Friday May 22 2015 Lesson - Hypothesis Testing & Work Period LG: I understand the general ideas covered in hypothesis testing. MDM4U_B Per 1 WEEK 2 Monday May 25 2015 Lesson - Confidence Intervals LG: I know what confidence intervals are, and can calculate them. Video: Constructing a Confidence Interval Hmk) p464 1ace,3,4 MDM4U_B Per 1 WEEK 2 Tuesday May 26 2015 Hmk) p468 5,6,8,11,12,16,18,19 MDM4U_B Per 1 WEEK 2 Wednesday May 27 2015 *** CAMERA FILMING DAY *** Hmk) p468 5,6,8,11,12,16,18,19 MDM4U_B Per 1 WEEK 2 Thursday May 28 2015 MDM4U_B Per 1 WEEK 2 Friday May 29 2015 MDM4U_B Per 1 WEEK 1 Monday June 1 2015 MDM4U_B Per 1 WEEK 1 Tuesday June 2 2015 MDM4U_B Per 1 WEEK 1 Wednesday June 3 2015 MDM4U_B Per 1 WEEK 1 Thursday June 4 2015 MDM4U_B Per 1 WEEK 1 Friday June 5 2015 MDM4U_B Per 1 WEEK 2 Monday June 8 2015 Lesson - Social Justice Final Project Presentations MDM4U_B Per 1 WEEK 2 Tuesday June 9 2015 Lesson - Social Justice Final Project Presentations MDM4U_B Per 1 WEEK 2 Wednesday June 10 2015 Lesson - Social Justice Final Project Presentations MDM4U_B Per 1 WEEK 2 Thursday June 11 2015 Lesson - Final Review Lesson Group: Final Review Activity MDM4U_B Per 1 WEEK 2 Friday June 12 2015 Lesson - Final Review Video Group: Shows/reviews student videos; highlight good Bergman videos to watch MDM4U_B Per 1 WEEK 1 Monday June 15 2015 Lesson - Final Review Support Group: Full Course Quiz, 1 question per unit. MDM4U_B Per 1 WEEK 1 Tuesday June 16 2015 Relax/Fun: Fun Activity Exams June 17 2015 - June 23 2015 Exam Day 1: Wed June 17 MDM4U Exam Wed June 17 2015 9am 2hrs exactly Exam Day 2: Thu June 18 Exam Day 3: Fri June 19 Exam Day 4: Mon June 22 Exam Day 5: Tue June 23