RECORDED LESSONS FOR STATISTICS
Purpose and Expectations
Purpose of the Recorded Lessons
1) Provide an additional support to absent students. I have found that a significant number of seniors that take this class are involved in a variety of activities within the school. This causes an increase in the number of school-related absences. To help students stay on top of their statistical studies, I have recorded the daily lessons.
2) Provide a review resource. If you are particularly struggling with a concept or want to review before a test, these recordings are a good place to start.
Expectations
1) Provide an additional support to absent students. I have found that a significant number of seniors that take this class are involved in a variety of activities within the school. This causes an increase in the number of school-related absences. To help students stay on top of their statistical studies, I have recorded the daily lessons.
2) Provide a review resource. If you are particularly struggling with a concept or want to review before a test, these recordings are a good place to start.
Expectations
- You have a TI-graphing calculator (TI-83 or TI-84 of some sort are the best for this course).
- Be aware the lessons are shrunken-down versions of what is discussed in class. In class I may expand on a topic, provide additional examples, or break-off for a quick investigation. Those for the most part do not occur in these recorded lessons. The recorded lessons are the fundamental ideas that one needs to be successful. There may be times you need to pause the video and rewind to hear an explanation again and to think through it yourself. Additionally, reading the section in the book beforehand will do wonders for your understanding.
Note Packets to Follow Along with Lessons
Recorded Lessons
Description for Recorded Lessons - this video describes the general format of the recorded lessons and what to expect
1.1 and 1.2 - Overview and Data Classification
1.3 Data Collection
2.1 Frequency Distributions/Graphs
2.2 More Graphs, Displays and intro to Linear Regression
2.3 Measures of Central Tendency
2.4 Range and Population/Sample Variance and Standard Deviation
2.4 Empirical Rule, Chebychev's Theorem and Coefficient of Variation
2.5 Quartiles, IQR, and Box and Whisker Plots
2.5 Percentiles and Z-Scores
3.1 Basic Concepts of Probability and Counting
3.2 Independent/Dependent Events and Conditional Probability
3.3 Addition Rule for Probability
3.4 Factorials, Permutations and Combinations
3.4 Probabilities with Permutations and Combinations
4.1 Probability Distributions
4.2 Binomial Experiments & Probabilities
4.2 Binomial Distribution, Mean, St. Deviation
4.3 Geometric and Poisson Distributions
Chapter 3 and 4 Guided Learning Target Review Sheet Overview
5.1 Normal and Standard Normal Distribution
5.2 Finding Probabilities Using Z-Score
5.3 Find Value Given a Probability
5.4 Central Limit Theorem
5.5 Normal Approximation to the Binomial
Chapter 5 Guided Learning Target Review Sheet Overview
6.1 Confidence Interval for σ Known
6.2 Confidence Interval for σ Unknown
6.3 Confidence Interval for Population Proportions
7.1 Intro to Hypothesis Testing (stating hypotheses and type I/II error)
7.1 Hypothesis Testing (p-values, making and interpreting a decision)
7.2 Hypothesis Testing for the Mean (σ Known)
7.2 Finding Critical Values and Establishing Rejection Regions
7.3 Hypothesis Testing for the Mean (σ Unknown) *No rejection regions, just interpret p-values
7.4 Hypothesis Testing for Proportions
Chapter 6 and 7 Guided Learning Target Review Sheet
1.1 and 1.2 - Overview and Data Classification
1.3 Data Collection
2.1 Frequency Distributions/Graphs
2.2 More Graphs, Displays and intro to Linear Regression
2.3 Measures of Central Tendency
2.4 Range and Population/Sample Variance and Standard Deviation
2.4 Empirical Rule, Chebychev's Theorem and Coefficient of Variation
2.5 Quartiles, IQR, and Box and Whisker Plots
2.5 Percentiles and Z-Scores
3.1 Basic Concepts of Probability and Counting
3.2 Independent/Dependent Events and Conditional Probability
3.3 Addition Rule for Probability
3.4 Factorials, Permutations and Combinations
3.4 Probabilities with Permutations and Combinations
4.1 Probability Distributions
4.2 Binomial Experiments & Probabilities
4.2 Binomial Distribution, Mean, St. Deviation
4.3 Geometric and Poisson Distributions
Chapter 3 and 4 Guided Learning Target Review Sheet Overview
5.1 Normal and Standard Normal Distribution
5.2 Finding Probabilities Using Z-Score
5.3 Find Value Given a Probability
5.4 Central Limit Theorem
5.5 Normal Approximation to the Binomial
Chapter 5 Guided Learning Target Review Sheet Overview
6.1 Confidence Interval for σ Known
6.2 Confidence Interval for σ Unknown
6.3 Confidence Interval for Population Proportions
7.1 Intro to Hypothesis Testing (stating hypotheses and type I/II error)
7.1 Hypothesis Testing (p-values, making and interpreting a decision)
7.2 Hypothesis Testing for the Mean (σ Known)
7.2 Finding Critical Values and Establishing Rejection Regions
7.3 Hypothesis Testing for the Mean (σ Unknown) *No rejection regions, just interpret p-values
7.4 Hypothesis Testing for Proportions
Chapter 6 and 7 Guided Learning Target Review Sheet