AP STATISTICS
11 modules
English
Lifetime access
<p>Develop a comprehensive and conceptual understanding of the basics of statistics and prepare for the AP Statistics paper. Also learn how to apply statistics to practical problems and build a internship path in emerging occupations like data science, business analytics, AI/ML, algo trading etc. An optional certification can be received by meeting course requirements from the Tenese Board of Regents course on edX.</p> <p><strong>Batch Start : Coming Soon</strong></p> <p><b>Duration : 6 weeks ( 4 hours per week )</b></p>
Overview
Statistics is the basis of Data Science and is a critical skill to understand Machine Learning and advanced AI principles. Advanced Placement Exam for statistics is an introductory college-level statistics course that introduces students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data.
This course lays the foundation for a students wanting to develop a conceptual and practical understanding of the applications of statistics for use in data science and maching learning applications. The coverage in this course also prepares an individuals for the College Board's Advanced Placement Program in Statistics, commonly known as AP Statistics. The AP exam is a great way to prove your academic proficiency in your college applications and these also provide you credit in your first year of course work in US and Canadian colleges. These exams are also increasingly being recognized across the globe for admissions . The AP exams are conducted yearly (usually in May) at select schools and you can prepare and apply individually as well. You can find a more details (centres in different cities, dates etc.) for India here and the colleges in India and internationally recognizing them here.
More details on the AP statistics course can be obtained on the course home page of college board.
The course content is organized into ten broad units, with each unit further broken down into teachable segments called topics.
- Unit 1: Exploring Data
- Unit 2: Distributions
- Unit 3: Linear Regression
- Unit 4: Sampling & Experiements
- Unit 5: Probability & Random Variables
- Unit 6: Sampling Distributions
- Unit 7: Inference for Pouplations
- Unit 8: Inference for Means
- Unit 9: Inference for Two Variables
- Unit 10: Preparing for the AP Statistics Exam
An optional certification (paid separately) can be received by meeting course requirements from the Tenese Board of Regents course on edX.
The approach for teaching in the course will b the flipped classroom approach where videos and reading may be assigned before the class. During the live class the difficult sections of the videos would be explained and problems discussed and solved. We would also be using online activities to ensure that the concepts are discussed and well understood.
An overview of the flipped class approach is available below
Why you should take this Statistics course?
- Build towards a career path in statistics
- Make your study abroad application stronger
- Save time and tuition costs once admitted
- Earn course credits while still at school
- Recognised by 1000+ universities worldwide for admissions
Most importantly explore the statistics area to see if you have interest in it as a specialization for emerging careers like Data Science, AI, Business Analytics , Actuarists, algo traders etc.
Modules
Introduction
2 attachments • 1 mins
ap-statistics-course-overview
2 pages
Course Instructions
Unit 1: Exploring Data
19 attachments • 10 mins
Lesson 1.1 - Misleading With Data
Activity 1.1
Assignment 1.1
Data 1.1
Lesson 1.2 - Describing Categorical Data
Activity 1.2
Assignment 1.2
Data 1.2
Lesson 1.3 - Describing Quantitative Data
Activity 1.3
Assignment 1.3
Data 1.3
Lesson 1.4 - Measures of Center & Spread
Activity 1.4
Assignment 1.4
Lesson 1.5 - Boxplots & Comparing Graphs
Activity 1.5
Data 1.5
Quantitative Data Project Unit 1
Unit 2: Distribution Location
14 attachments • 4 mins
Lesson 2.1 - Percentiles and Z-Scores
Activity 2.1
Assignment 2.1
Data 2.1
Lesson 2.2 - Transforming Data
Activity 2.2
Data 2.1
Assignment 2.2
Lesson 2.3 - The Empirical Rule
Activity 2.3
Assignment 2.3
Lesson 2.4 - More on Normal Curves
Activity 2.4
Assignment 2.4
Unit 3: Collecting Data
15 attachments • 7 mins
Lesson 3.1 - Scatterplots & Correlation
Activity 3.1
Assignment 3.1
Data 3.1
Lesson 3.2 - Least Squares Regression Line
Activity 3.2
Assignment 3.2
Data 3.2
Lesson 3.3 - Residuals, R-Squared, and S
Activity 3.3
Assignment 3.3
Data 3.3
Lesson 3.4 - Technology and Regression
Assignment 3.4
Data 3.4
Unit 4: Probability, Random Variables, and Probability Distributions
15 attachments • 8 mins
Lesson 4.1 - Biased Sampling & The SRS
Activity 4.1
Assignment 4.1
Data 4.1 (Visual)
Lesson 4.2 - Random Sampling Methods
Activity 4.2
Assignment 4.2 (Activity )
Assignment 4.2 ( Post Activity )
Lesson 4.3 - Experimental Design
Activity 4.3
Assignment 4.3
Data 4.3
Lesson 4.4 - Grouping in Experiments
Activity 4.4
Assignment 4.4
Unit 5: Sampling Distributions
25 attachments • 14 mins
Lesson 5.1 - Defining Probability
Activity 5.1
Assignment 5.1
Lesson 5.2 - The Addition Rule
Activity 5.2
Assignment 5.2
Data 5.2
Lesson 5.3 - Multiplication Rule & Conditional Probability
Activity 5.3
Assignment 5.3
Data 5.3
Lesson 5.4 - Successive Events
Activity 5.4
Assignment 5.4
Data 5.4
Lesson 5.5 - Random Variables & Expected Value
Activity 5.5
Assignment 5.5
Lesson 5.6 - Variance & Combining R.V.’s
Activity 5.6
Assignment 5.6
Lesson 5.7 - Binomial & Geometric R.V.’s
Activity 5.7
Assignment 5.7
Data 5.7
Unit 6: Inference for Categorical Data: Proportions
12 attachments • 8 mins
Lesson 6.1 - Intro to Sampling Distributions
Activity 6.1
Assignment 6.1
Lesson 6.2 - Sampling Distribution for a Proportion
Activity 6.2
Assignment 6.2
Lesson 6.3 - Conditions for Sampling a Proportion
Activity 6.3
Assignment 6.3
Lesson 6.4 - Sampling Distribution for a Mean
Activity 6.4
Assignment 6.4
Unit 7: Inference for Quantitative Data: Means
23 attachments • 15 mins
Lesson 7.1 - Introduction to Confidence Intervals
Activity 7.1
Assignment 7.1
Lesson 7.2 - Confidence Interval for One Proportion
Activity 7.2
Assignment 7.2
Lesson 7.3 - Critical Values & Margins of Error
Activity 7.3
Assignment 7.3
Lesson 7.4 - Introduction to Hypothesis Tests
Activity 7.4
Assignment 7.4
Lesson 7.5 - Hypothesis Test for One Proportion
Activity 7.5
Assignment 7.5
Lesson 7.6 - Problems with Intervals & Tests
Activity 7.6
Assignment 7.6
Lesson 7.7 - Confidence Interval for Two Proportions
Activity 7.7
Assignment 7.7
Lesson 7.8 - Hypothesis Test for Two Proportions
Assignment 7.8
Unit 8: Inference for Categorical Data: Chi-Square
15 attachments • 8 mins
Lesson 8.1 - Confidence Interval for One Mean
Activity 8.1
Assignment 8.1
Data 8.1
Lesson 8.2 - Hypothesis Test for One Mean
Assignment 8.2
Lesson 8.3 - Confidence Interval for Two Means
Assignment 8.3
Lesson 8.4 - Hypothesis Test for Two Means
Activity 8.4
Assignment 8.4
Lesson 8.5 - Inference for Matched Pairs
Activity 8.5
Assignment 8.5
Data 8.5
Unit 9: Inference for Quantitative Data: Slopes
12 attachments • 6 mins
Lesson 9.1 - Chi-Square Test for Goodness of Fit
Activity 9.1
Assignment 9.1
Data 9.1
Lesson 9.2 - Chi-Square Tests for Two-Way Tables
Activity 9.2
Assignment 9.2
Data 9.2
Lesson 9.3 - Regression Inference
Activity 9.3
Assignment 9.3
Data 9.3
Preparing for AP Statistics Exam
17 attachments • 7 hrs
How to Explore and Collect Data | Live Review Session 1 | AP Statistics
Session 1 Handout - How to Explore and Collect Data
3 pages
Simplifying Probability and Random Variables | Live Review Session 2 | AP Statistics
Session 2 Handout - Simplifying Probability and Random Variables
3 pages
Understanding Inference for Categorical Data | Live Review Session 3 | AP Statistics
Session 3 Handout - Understanding Inference for Categorical Data
3 pages
Understanding Inference for Quantitative Data | Live Review Session 4 | AP Statistics
Session 4 Handout - Understanding Inference for Quantitative Data
3 pages
Essential Tools: Inference Flowchart, Formula Sheet, & Calculator | Live Review Session 5 | AP Stats
Session 5 Handout - Essential Tools_Inference Flowchart, Formula Sheet, and Calculator
4 pages
Rubrics for Free-Response Success on the AP Statistics Exam | Live Review Session 6 | AP Stats
Session 6 Handout - Rubrics for Free Response Success on the AP Statistics Exam
4 pages
Taming the Investigative Task on the AP Statistics Exam | Live Review Session 7 | AP Statistics
Session 7 Handout - Taming the Investigative Task on the AP Statistics Exam
4 pages
Top 10 Tips for Success on the AP Statistics Exam | Live Review Session 8 | AP Statistics
Session 8 Handout - Top 10 Tips for Success on the AP Statistics Exam
2 pages
Top 10 Tips for Success on the AP Statistics Exam | Live Review Session 8 | AP Statistics
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