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The home stretch! You have made it to second semester Grade 12. For some of you this will be your only Grade 12 math and for others you will be taking all three of them. BE WARNED!!!! Although the content of this course is not as challenging in complexity as the other two Grade 12 math courses, that does NOT AT ALL mean that it isn't still hard and A LOT OF WORK!!!!!!!!!!
Units to be covered:
1. Permutations and Combinations (get your thinking caps on!)
3. Probability
4. One variable statistics
5. Two variable statistics
6. Culminating Project
See the course outline for additional information.
Here are some extra links for data sources, give them a try: Open Canada, Open Canada 2, Open Ontario
EXTRA HELP: Room 304, Tuesdays and Thursdays, 11:40-12:15
DATE
Wed, Jan 17
Mon, Jan 15, Tues, Jan 16
Mon, Jan 8 - Fri, Jan 12
Thurs, Dec 21
Wed, Dec 20
Tues, Dec 19
Mon, Dec 18
Fri, Dec 15
Thurs, Dec 14
Wed, Dec 13
Tues, Dec 12
Mon, Dec 11
Fri, Dec 8
Thur, Dec 7
Wed, Dec 6
Tues, Dec 5
Mon, Dec 4
Fri, Dec 1
Thur, Nov 30
Wed, Nov 29
Tues, Nov 28
Mon, Nov 27
Thurs, Nov 23
Wed, Nov 22
Tues, Nov 21
Mon, Nov 20
Fri, Nov 17
Thur, Nov 16
Wed, Nov 15
Tues, Nov 14
Mon, Nov 13
Fri, Nov 10
Thur, Nov 9
Wed, Nov 8
Tues, Nov 7
Mon, Nov 6
Fri, Nov 3
Thur, Nov 2
Wed, Nov 1
Tues, Oct 31
Mon, Oct 30
Fri, Oct 27
Thur, Oct 26
Wed, Oct 25
Tues, Oct 24
Mon, Oct 23
Fri, Oct 20
Thur, Oct 19
Wed, Oct 18
Tues, Oct 17
Mon, Oct 16
Fri, Oct 13
Thur, Oct 12
Wed, Oct 11
Tues, Oct 10
Thur, Oct 5
Wed, Oct 4
Tues, Oct 3
Mon, Oct 2
Fri, Sept 29
Thurs, Sept 28
Wed, Sept 27
Tues, Sept 26
Mon, Sept 25
Fri, Sept 22
Thurs, Sept 21
Wed, Sept 20
Tues, Sept 19
Mon, Sept 18
Fri, Sept 15
Thur, Sept 14
Wed, Sept 13
Tues, Sept 12
Mon, Sept 11
Fri, Sept 8
Thur, Sept 7
Wed, Sept 6
Tues, Sept 5
LESSON
Peer Review, ATTENDANCE MANDATORY
***MUST bring a printed copy of your final draft***
Reports
Working on Reports
EXAM DAY 2
EXAM DAY 1
Formula Sheet
WORK ASSIGNED
Confidence Intervals Worksheet
WKS questions are on Binomial Dist Handout
Binomial Distribution WKS Solutions
Conditional Prob WKS Solutions
Mutually Exclusive Events Solutions
Finish Venn Diagrams WKS
Be sure you have shared your Old Faithful Google Doc (not the Google Sheet) with me
Complete all tasks from Old Faithful and organize into a Google Doc which you share with me.
Be sure to complete any of the assigned questions on Measures of Central Tendency, Measures of Spread and Percentiles
Measures of Spread Practice (including quartile questions)
Measure of Central Tendency WKS
Confidence Intervals Practice sol
You will need to have your variables chosen AND your data. Your proposal is due Thursday, Oct 5 and you will only have one additional day on the computers on Wednesday to write up your proposal.
Proposal Due Oct 5
Proposal Due Oct 5
Proposal Due Oct 5
Misleading Statistics Activity
1 Variable vs 2 Variable Data WKS
HWK: What are the characteristics of a good sample?
Drawing Conclusions from Categorical Data
SOOO lucky to not have homework yet!
TEST
Review full solution all pages
Normal Approximation full solutions
TEST
ANALYSIS DUE (need to hand in your original proposal as well as an updated version with changes made based on feedback given on proposal)
QUIZ
Independent and Dependent Events
Computers
Computers
Computers
Experimental and Theoretical Probability Continued
Experimental and Theoretical Probability
TEST
Review
Computers
QUIZ
Work Period
Computers
Suggestions for Analysis:
Analyzing the Variables Individually
Before comparing the variables in a scatter plot, make sure your audience understands the individual variables. What do they represent? How are they distributed? Use histograms, box-whisker plots, measures of central tendency and measures of spread. When using various measures remember that you are describing a variable. Keep it in context.
Specific examples might be interesting/helpful.
If you have time series data, what does a broken line plot of your data against the time look like? Is there a lot of fluctuation? Is there a steady increase or decrease?
What can you learn from the line of best fit.
It is not your goal to simply include lots of graph and calculations, but rather to use these tools to learn about the problem you are studying.
Comparing the Variables
You should have at least two variables you can compare using a scatter plot. Create a line/curve of best fit. Consider the coefficient of determination (r2). Consider the meaning of the equation. Where relevant explain the meaning of the slope and the y-intercept. What does it mean if a point is above/below the line? Discuss the type of correlational relationship you believe to be involved and why. These could include cause and effect, commoncause factor, reverse cause-and- effect, bi-directional cause-and-effect, or accidental relationship.
Consider any extraneous / uncontrolled variables that may be affecting the correlation.
For non-correlations (or weak correlations), discuss why you feel there was no correlation.
Fundamental Counting Principles Solutions
Fundamental Counting Principles Handout
Computers
TEST 2
Interpreting Graphs
Computers
QUIZ
Box and Whisker from Histograms
Box and Whisker from Histograms Handout
Histograms, Types of Distribution, Box and Whisker Plot
Standard Deviation and Box
Solutions to Measures of Central Tendency Discussion Questions
Discussion questions: Measure of Central Tendency
Measures of Central Tendency Note
Sleepy Sample and Student Sample Activity
Computers
Confidence Intervals Into Using 1000 students
Class data for confidence Intervals
Computers (in class)
Computers (in class)
Library
Library
TEST 1: Statistics
Statistics in Media: Reflection
Take up Bias and variable worksheet
Intro to project
QUIZ (Sampling techniques, types of data)
Bias, groups defined types of bias (sampling, measurement, household, response, non-response, leading question, loaded question
PHOTO DAY!
Finish yesterdays Identifying Types of Samples WKS
Create a research question for a bar graph and a histogram using the 1000 student data.
Change your bar graph research question into a split bar graph research question without using gender
Take up Identifying Types of Samples
Visual Representations of Sampling Techniques
Sampling Techniques: Groups research types of sampling
Systematic, Cluster, Convenience, Voluntary, Simple Random, Stratified, Multistage
You SHOULD have a summary of each of these in your notes
Defined: Population, Sample, Census, Longitudinal and Cross Sectional
Feedback and consolidation on 1000 students
Discuss types of graphs
1000 students questionaire
WELCOME!!! Course outline, icebreaker, Thinking problem
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