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Probability & Statistics with Applications Honors
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General
Course Codes
August 12 - August 18
1st Day Word Search
Syllabus Sheet Return
CYU Lesson 1.1
August 19 - August 25
CYU Lesson 1.2
Classwork Lesson 1.1
Classwork Lesson 1.2
CYU Lesson 1.3
MathXL Lesson 0
August 26 - September 1
CYU Lesson 1.4
Classwork Lesson 1.3
MathXL Lesson 1.1
MathXL Lesson 1.2
Khan Academy: Read bar graphs
Khan Academy: Individuals, variables, and categorical & quantitative data
Khan Academy: Read picture graphs (multi-step problems)
Khan Academy: Create bar graphs
Khan Academy: Read bar garphs (2-step problems)
Khan Academy: Analyzing categorical data: Quiz 1
CYU Lesson 1.5
September 2 - September 8
CYU Lesson 1.6
CYU Lesson 1.7
CYU Lesson 1.7 Extra Credit
Classwork Lesson 1.4
Classwork Lesson 1.5
Khan Academy: Read two-way frequency tables
Khan Academy: Create two-way frequency tables
Khan Academy: Create two-way relative frequency tables
Khan Academy: Analyze two-way frequency tables
Khan Academy: Interpret two-way tables
Khan Academy: Analyzing categorical data: Quiz 2
Khan Academy: Creating frequency tables
Khan Academy: Creating dot plots
Khan Academy: Reading dot plots & frequency tables
Khan Academy: Reading stem and leaf plots
MathXL Lesson 1.3
MathXL Lesson 1.4
September 9 - September 15
Khan Academy: Create histograms
Khan Academy: Read histograms
Khan Academy: Shape of distributions
Khan Academy: Clusters, gaps, & peaks in data distributions
Khan Academy: Comparing distributions
Khan Academy: Comparing data displays
Khan Academy: Comparing center and spread
Khan Academy: Mean, median, and mode
Khan Academy: Calculating the mean
Khan Academy: Calculating the median
MathXL Quiz Lessons 1.1 - 1.4
MathXL Lesson 1.5
MathXL Lesson 1.6
Classwork Lesson 1.6
Classwork Lesson 1.7
CYU: Lesson 1.8
September 16 - September 22
MathXL Lesson 1.7
CYU: Lesson 2.1
CYU: Lesson 2.2
Classwork Lesson 1.8
Khan Academy: Comparing data distributions
Khan Academy: Calculating the mean: data displays
Khan Academy: Calculating the median: data displays
Khan Academy: Effects of shifting, adding, & removing a data point
Khan Academy: Missing value given the mean
Khan Academy: Interquartile range (IQR)
Khan Academy: Creating box plots
Khan Academy: Reading box plots
Khan Academy: Interpreting quartiles
Khan Academy: Identifying outliers
September 23 - September 29
Khan Academy: Comparing z-scores
Khan Academy: Analyzing a single quantitative variable: Quiz 2
Khan Academy: Displaying and comparing quantitative data: Unit test
Khan Academy: Summarizing quantitative data: Quiz 1
Khan Academy: Summarizing quantitative data: Quiz 2
Khan Academy: Summarizing quantitative data: Unit Test
Khan Academy: Calculating percentiles
Khan Academy: Calculating z-scores
Classwork Lesson 2.1
MathXL Lesson 1.8
MathXL Quiz Lessons 1.5 - 1.8
Unit 1 MCQ Test
Unit 1 Short Answer Test
September 30 - October 6
CYU: Lesson 2.3
CYU: Lesson 2.4
MathXL Lesson 2.1
MathXL Lesson 2.2
Classwork Lesson 2.2
Classwork Lesson 2.3
Classwork Lesson 2.4
October 7 - October 13
MathXL Lesson 2.3
October 14 - October 20
MathXL Lesson 2.4
MathXL Quiz Lessons 2.1 - 2.4 (if it helps Q1 grades)
MathXL Quiz Lessons 2.1 - 2.4
Khan Academy: Analyzing a single quantitative variable: Quiz 3
Khan Academy: Analyzing a single quantitative variable: Unit test
Khan Academy: Empirical rule
Khan Academy: Normal distribution: Area above or below a point
Khan Academy: Normal distribution: Area between two points
Khan Academy: Normal calculations in reverse
Khan Academy: Modeling data distributions: Quiz 2
Khan Academy: Modeling data distributions: Unit Test
Unit 2 Exam
October 21 - October 27
CYU: Lesson 3.1
CYU: Lesson 3.2
CYU: Lesson 3.2 Extra Credit
October 28 - November 3
CYU: Lesson 3.3
CYU: Lesson 3.4
MathXL Lesson 3.1
MathXL Lesson 3.2
Classwork Lesson 3.1
Classwork Lesson 3.2
November 4 - November 10
MathXL Lesson 3.3
Classwork Lesson 3.3
Classwork Lesson 3.4
Khan Academy: Graph Probability Distributions
Khan Academy: Probability with discrete random variables
Khan Academy: Develop Probability Distributions: Theoretical probabilities
Khan Academy: Mean (expected value) of a discrete random variable
Khan Academy: Interpret expected value
Khan Academy: Standard deviation of a discrete random variable
Khan Academy: Constructing probability distributions
Khan Academy: Probability models
Khan Academy: Expected value
Khan Academy: Probability in normal density curves
CYU: Lesson 3.5
CYU: Lesson 3.6
November 11 - November 17
CYU: Lesson 3.7
MathXL: Quiz Lesson 3.1 - 3.3
MathXL Lesson 3.5
Classwork Lesson 3.5
Classwork Lesson 3.6
Khan Academy: Develop probability distributions: Empirical probabilities
Khan Academy: Probability distributions & expected value: Quiz 1
Khan Academy: Find expected payoffs
Khan Academy: Biased and unbiased estimators
Khan Academy: The normal condition for sample proportions
Khan Academy: Mean and standard deviation of sample proportions
Khan Academy: Finding probabilities with sample proportions
Classwork Lesson 3.7
3.5-3.7 Worksheet Review
MathXL Lesson 3.6
November 18 - November 24
Khan Academy: Mean and standard deviation of sample means
Khan Academy: Sample means and the central limit theorem
Khan Academy: Finding probabilities with sample means
Khan Academy: Sampling distributions: Unit test
MathXL Lesson 3.7
MathXL Quiz Lessons 3.5-3.7
Unit 3 Exam
Unit 3 Exam Extra Credit
CYU: Lesson 4.1
December 2 - December 8
Classwork Lesson 4.1
MathXL: Lesson 4.1
CYU: Lesson 4.2
Guess the Correlation Extra Credit
December 9 - December 15
Classwork Lesson 4.2
MathXL: Lesson 4.2
Khan Academy: Constructing scatterplots
Khan Academy: Making appropriate scatterplots
Khan Academy: Positive and negative linear associations from scatterplots
Khan Academy: Describing trends in scatterplots
Khan Academy: Correlation coefficient intuition
Khan Academy: Exploring bivariate numerical data: Quiz 1
CYU: Lesson 4.3
December 16 - December 22
CYU: Lesson 4.4
Optional Mid Term Exam Units 1 - 4
Khan Academy: Eyeballing the line of best fit
Khan Academy: Estimating equations of lines of best fit, and using them to make predictions
Khan Academy: Estimating slope of line of best fit
Khan Academy: Calculating and interpreting residuals
Khan Academy: Calculating the equation of the least-squares line
Khan Academy: Interpreting slope and y-intercept for linear models
Khan Academy: Exploring bivariate numerical data: Quiz 3
Khan Academy: Residual plots
Khan Academy: Effects of influential points
Khan Academy: Exploring bivariate numerical data: Quiz 4
Khan Academy: Exploring bivariate numerical data: Unit Test
January 6 - January 12
Unit 4 Barbie Bungee Finale
Classwork: Lesson 4.3
Classwork: Lesson 4.4
MathXL: Lesson 4.3
MathXL: Lesson 4.4
CYU: 5.1
January 13 - January 19
CYU: 5.2
MathXL Quiz: Lesson 4.1 - 4.4
Classwork: Lesson 5.1
CYU: 5.3
January 20 - January 26
CYU: 5.4
Classwork: Lesson 5.2
Classwork: Lesson 5.3
MathXL: Lesson 5.1
MathXL: Lesson 5.2
1/24 Life on Mars Classwork
January 27 - February 2
Classwork: Lesson 5.4
MathXL: Lesson 5.3-5.4
Khan Academy: Inference for categorical data: Proportions: Quiz 1
Khan Academy: Conditions for a z interval for a proportion
Khan Academy: Finding the critical value z* for a desired confidence level
Khan Academy: Calculating a z interval for a proportion
Khan Academy: Sample size and margin of error in a z interval for p
CYU: 5.5
CYU: 5.6
February 3 - February 9
MathXL: Lesson 5.5
CYU: 5.7
CYU: 5.8
Classwork: Lesson 5.5
Classwork: Lesson 5.6
Khan Academy: Conditions for inference on two proportions
Khan Academy: Two-sample z interval for the difference of proportions
February 10 - February 16
MathXL: Lesson 5.6-5.7
MathXL: Lesson 5.8
MathXL Quiz: Lesson 5.1 - 5.5
MathXL Quiz: Lesson 5.5 - 5.8
Classwork: Lesson 5.8
Classwork: Lesson 5.7
Khan Academy: Conditions for inference on two means
Khan Academy: Two-sample t inteval for the difference of means (calculator activity)
Khan Academy: Conditions for a t interval for a mean
Khan Academy: Finding the critical value t* for a desired confidence level
Khan Academy: Calculating a t interval for a mean
Khan Academy: Sample size and margin of error in a confidence interval for a mean
February 17 - February 23
Take Home Test: Unit 5
Unit 5 Exam
CYU: 6.1
February 24 - March 2
Classwork: 6.1
CYU: 6.2
March 3 - March 8
Classwork: 6.2
Khan Academy: Simple hypothesis testing
Khan Academy: Writing null and alternative hypothesis
Khan Academy: Estimating p-values from simulation
MathXL: Lesson 6.1
March 10 - March 16
Extra Credit: SAT Saturday Practice
MathXL: Lesson 6.2
Khan Academy: Writing hypothesis test about a proportion
Khan Academy: Conditions for a z test about a proportion
Khan Academy: Calculating the test statistic in a z test for a proportion
Khan Academy: Calculating the P-value in a z test for a proportion
Khan Academy: Making conclusions in a z test for a proportion
CYU: 6.3 Part I
CYU: 6.3 Part II
Classwork: Lesson 6.3
March 24 - March 30
CYU: 6.4
CYU: 6.5
Khan Academy: Writing hypotheses for a test about a mean
Khan Academy: Conditions for a t test about a mean
Khan Academy: Calculating the test statistic in a t test for a mean
Khan Academy: Calculating the P-value in a t test for a mean
Khan Academy: Making conclusions in a t test for a mean
March 31 - April 6
Classwork: 6.4
Khan Academy: Inference for quantitative data: Means: Quiz 2
Khan Academy:Writing hypothses to test the difference of means
Khan Academy: Test statistic in a two-sample t test
Khan Academy: P-value in a two-sample t test
Khan Academy: Making conclusions about the difference of means
Khan Academy: Inference for quantitative data: Means: Quiz 3
Khan Academy: Hypothesis testing in experiments
MathXL: Lesson 6.3-6.4
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Art - Visual Arts
Career and Technical Basic
Computer Education
Drama - Theatre Arts
Electives
Engineering & Technology
English/Language Arts
Experiential Education
Health Education
Language Arts
Mathematics
Middle School Programs
Miscellaneous
Music
Music Education
Physical Education
Research and Critical Thinking
Science
Social Studies
Student Services
World Languages
Leadership Skills Development
Professional Development
Study Hall
Tutoring
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Course info
Probability & Statistics with Applications Honors
Course description
Teacher:
Eric Cooper
Skill Level
:
Beginner
