ACE the AP Statistics Exam and MASTER Elementary Statistics!

ACE the AP Statistics Exam and MASTER Elementary Statistics!, available at $79.99, has an average rating of 4.8, with 91 lectures, based on 360 reviews, and has 2760 subscribers.

You will learn about Understand the concepts of most elementary college and advanced placement statistics courses. Describe patterns and departures from patterns using descriptive statistics. Interpret information from graphical and numerical displays and summaries. Plan and conduct statistical studies by looking at data collection and analysis. Observational studies and experiments are both considered as well as proper sampling techniques and possible biases that can occur. Explore random phenomena using probability and simulation. Both discrete and continuous probability models are considered and sampling distributions are introduced. Estimate population parameters using statistics and testing hypothesis. The student will be able to construct a confidence interval and hypothesis test for numerical and categorical data. Successfully complete a college entry level statistics class and achieve success on the Advanced Placement Statistics Exam. This course is ideal for individuals who are Any student taking an elementary statistics course or AP Statistics should take this course. It is particularly useful for Any student taking an elementary statistics course or AP Statistics should take this course. .

Enroll now: ACE the AP Statistics Exam and MASTER Elementary Statistics!

Summary

Title: ACE the AP Statistics Exam and MASTER Elementary Statistics!

Price: $79.99

Average Rating: 4.8

Number of Lectures: 91

Number of Published Lectures: 91

Number of Curriculum Items: 91

Number of Published Curriculum Objects: 91

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the concepts of most elementary college and advanced placement statistics courses.
Describe patterns and departures from patterns using descriptive statistics.
Interpret information from graphical and numerical displays and summaries.
Plan and conduct statistical studies by looking at data collection and analysis. Observational studies and experiments are both considered as well as proper sampling techniques and possible biases that can occur.
Explore random phenomena using probability and simulation. Both discrete and continuous probability models are considered and sampling distributions are introduced.
Estimate population parameters using statistics and testing hypothesis. The student will be able to construct a confidence interval and hypothesis test for numerical and categorical data.
Successfully complete a college entry level statistics class and achieve success on the Advanced Placement Statistics Exam.

Who Should Attend

Any student taking an elementary statistics course or AP Statistics should take this course.

Target Audiences

Any student taking an elementary statistics course or AP Statistics should take this course.

Want to ace the AP Statistics exam and also do well in your class? Maybe you are taking an elementary or introductory statistics course in college and need the extra help. We’ll help you do it with 90 lessons, including several hours of illustrated lecture video, several worked-out example questions, and a complete understanding of the graphing calculator and its statistical capabilities.

Each lesson also comes with a downloadable word document of course notes to help you learn the material as you watch the video lessons.

Although our course is catered towards high school students taking the AP test, college students in a first year statistics course will also find this class life-saving.

Did we mention you’ll also have an awesome teacher?

Jerry Linch obtained his B.S. in Mathematics from the University of Nebraska and M.S. in Statistics from the University of Houston Clear Lake. With several years of practice in the actuarial field, he has an excellent understanding of the material and can explain the concepts at a level which any entry level student can understand. If you want a comprehensive course of all the AP Statistics topics and most all elementary statistics topics covered in a college course and explained with ease, then this course is for you.

Course Curriculum

Chapter 1: Introduction to Your Statistics Course!

Lecture 1: Welcome!

Chapter 2: Exploring Data

Lecture 1: 1-01 What is Statistics?

Lecture 2: 1-02 Types of Variables

Lecture 3: 1-03 Graphing Categorical Data

Lecture 4: 1-04 Dotplots and Stem and Leaf Plots

Lecture 5: 1-05 Histograms and Ogives (Part 1)

Lecture 6: 1-05 Histograms and Ogives (Part 2)

Lecture 7: 1-06 Boxplots (Part 1)

Lecture 8: 1-06 Boxplots (Part 2)

Lecture 9: 1-06 Boxplots (Part 3)

Lecture 10: 1-07 Describing Distributions

Lecture 11: 1-08 Measures of Center (Part 1)

Lecture 12: 1-08 Measures of Center (Part 2)

Lecture 13: 1-09 Measures of Spread (Part 1)

Lecture 14: 1-09 Measures of Spread (Part 2)

Lecture 15: 1-10 Density Curves and Z-Scores (Part 1)

Lecture 16: 1-10 Density Curves and Z-Scores (Part 2)

Lecture 17: 1-11 Correlation (Part 1)

Lecture 18: 1-11 Correlation (Part 2)

Lecture 19: 1-12 Least Squares Regression Line – LSRL (Part 1)

Lecture 20: 1-12 Least Squares Regression Line – LSRL (Part 2)

Lecture 21: 1-13 Residuals, Outliers and Influential Points (Part 1)

Lecture 22: 1-13 Residuals, Outliers and Influential Points (Part 2)

Lecture 23: 1-14 Nonlinear Regression (Part 1)

Lecture 24: 1-14 Nonlinear Regression (Part 2)

Chapter 3: Sampling and Experimentation

Lecture 1: 2-01 Sampling Design (Part 1)

Lecture 2: 2-01 Sampling Design (Part 2)

Lecture 3: 2-02 Sources of Bias

Lecture 4: 2-03 Experimental Design I

Lecture 5: 2-04 Experimental Design II

Lecture 6: 2-05 Experimental Design III (Part 1)

Lecture 7: 2-05 Experimental Design III (Part 2)

Chapter 4: Anticipating Patterns

Lecture 1: 3-01 Counting, Combinations and Permutations (Part 1)

Lecture 2: 3-01 Counting, Combinations and Permutations (Part 2)

Lecture 3: 3-02 Probability I (Part 1)

Lecture 4: 3-02 Probability I (Part 2)

Lecture 5: 3-03 Probability II (Part 1)

Lecture 6: 3-03 Probability II (Part 2)

Lecture 7: 3-04 Probability III (Part 1)

Lecture 8: 3-04 Probability III (Part 2)

Lecture 9: 3-04 Probability III (Part 3)

Lecture 10: 3-05 Simulation

Lecture 11: 3-06 Discrete Distributions (Part 1)

Lecture 12: 3-06 Discrete Distributions (Part 2)

Lecture 13: 3-07 Binomial Distributions (Part 1)

Lecture 14: 3-07 Binomial Distributions (Part 2)

Lecture 15: 3-08 Geometric Distributions

Lecture 16: 3-09 Poisson Distributions

Lecture 17: 3-10 Unusual Density Curves

Lecture 18: 3-11 Uniform Distributions

Lecture 19: 3-12 Normal Distributions (Part 1)

Lecture 20: 3-12 Normal Distributions (Part 2)

Lecture 21: 3-13 Assessing Normality and Calculator Functions

Lecture 22: 3-14 Normal Approximations of Binomial Distributions

Lecture 23: 3-15 Sampling Distributions (Part 1)

Lecture 24: 3-15 Sampling Distributions (Part 2)

Lecture 25: 3-15 Sampling Distributions (Part 3)

Chapter 5: Statistical Inference

Lecture 1: 4-01 Confidence Intervals for Means (Part 1)

Lecture 2: 4-01 Confidence Intervals for Means (Part 2)

Lecture 3: 4-01 Confidence Intervals for Means (Part 3)

Lecture 4: 4-01 Confidence Intervals for Means (Part 4)

Lecture 5: 4-01 Confidence Intervals for Means (Part 5)

Lecture 6: 4-01 Confidence Intervals for Means (Part 6)

Lecture 7: 4-02 Hypothesis Tests for Means (Part 1)

Lecture 8: 4-02 Hypothesis Tests for Means (Part 2)

Lecture 9: 4-02 Hypothesis Tests for Means (Part 3)

Lecture 10: 4-02 Hypothesis Tests for Means (Part 4)

Lecture 11: 4-02 Hypothesis Tests for Means (Part 5)

Lecture 12: 4-02 Hypothesis Tests for Means (Part 6)

Lecture 13: 4-02 Hypothesis Tests for Means (Part 7)

Lecture 14: 4-03 Errors in Hypothesis Tests

Lecture 15: 4-04 Power of Hypothesis Test (Part 1)

Lecture 16: 4-04 Power of Hypothesis Test (Part 2)

Lecture 17: 4-05 Sampling Distribution for Proportions (Part 1)

Lecture 18: 4-05 Sampling Distribution for Proportions (Part 2)

Lecture 19: 4-06 One Sample Proportion Inference (Part 1)

Lecture 20: 4-06 One Sample Proportion Inference (Part 2)

Lecture 21: 4-06 One Sample Proportion Inference (Part 3)

Lecture 22: 4-07 Two Sample Inference with Means (Part 1)

Lecture 23: 4-07 Two Sample Inference with Means (Part 2)

Lecture 24: 4-07 Two Sample Inference with Means (Part 3)

Lecture 25: 4-08 Two Sample Inference with Proportions (Part 1)

Lecture 26: 4-08 Two Sample Inference with Proportions (Part 2)

Lecture 27: 4-08 Two Sample Inference with Proportions (Part 3)

Lecture 28: 4-09 Chi Square Inference (Part 1)

Lecture 29: 4-09 Chi Square Inference (Part 2)

Lecture 30: 4-09 Chi Square Inference (Part 3)

Lecture 31: 4-09 Chi Square Inference (Part 4)

Lecture 32: 4-10 Regression Inference (Part 1)

Lecture 33: 4-10 Regression Inference (Part 2)

Lecture 34: 4-10 Regression Inference (Part 3)

Instructors

Jerry Linch
AP Statistics Instructor and College Math Instructor

Rating Distribution

1 stars: 3 votes
2 stars: 5 votes
3 stars: 24 votes
4 stars: 107 votes
5 stars: 221 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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