- Course type: Self-paced
- Available Lessons: 71
- Average Lesson Length: 8 min
- New lessons are still being added
Watch a preview:chapter 1 / lesson 1Descriptive & Inferential Statistics: Definition, Differences & Examples
Course SummaryLearn or review calculus-based probability and statistics with Statistics 202. In this course, you'll review engaging math lessons and practice quizzes that can boost your statistics skills for exams, homework, professional development or personal interest.
to start this course today
Try it risk-free for 30 days
Course Practice TestCheck your knowledge of this course with a 50-question practice test.
- Comprehensive test covering all topics
- Detailed video explanations for wrong answers
About This Course
Statistics 202 offers you a quick way to study the foundations of calculus-based probability and statistics. Work through the course at your own pace to explore descriptive statistics, probability approaches, probability distribution, estimation, regression, analysis of variance and much more. Our short lessons come with interactive practice quizzes that help you retain important statistics terms and formulas. You can also take chapter exams and the final course assessment to further enhance your statistics skills.
If you're a student, you could use the course to supplement your math textbooks or study for an upcoming exam. If you're a working professional who needs to learn how to perform statistical analysis, we have a chapter that shows you exactly how to use computer software for statistics. The course can be accessed online at any time, which makes it easy to study statistics whenever it fits your schedule.
|Descriptive Statistics Overview||Use descriptive statistics and graphic analysis to form the basis of quantitative analysis; define descriptive statistics; show measures of dispersion; calculate central tendency and least-squares regression.|
|Probability Theories & Approaches||Manipulate basic probabilistic relationships; calculate simple conditional probabilities; discuss the applications of set theory; find binomial probabilities.|
|Discrete Probability Distributions Overview||Work with probability density and distribution functions; identify various types of distributions.|
|Continuous Probability Distributions Overview||Identify uniform and non-uniform distributions; work with various continuous distribution types.|
|Multivariate Probability Distributions||Work with marginal, joint and conditional distributions; define covariance and correlation.|
|Statistics & Sampling Distribution||Use and construct control charts; determine various pieces of a sampling distribution, including z-scores, Chi, binomial distribution and s^2.|
|Estimation in Statistics||Develop confidence and tolerance intervals; use the method of maximum likelihood to find estimators.|
|Hypothesis Testing & Statistics||Apply testing to various sample types; evaluate data fit and frequency; test hypotheses; define a null hypothesis.|
|Simple Regression in Statistics||Understand regression of variables upon one another; characterize the association between two variables; hypothesize a model and verify its adequacy.|
|Multiple Regression in Statistics||Apply regression techniques to multiple dependent values; define and test a multiple regression experiment.|
|Experiments and Analysis of Variance||Design a random experiment following various design modeling techniques; explain why the design of the experiment is a crucial step in data analysis.|
|Software Options for Statistics||Use Excel or similar software programs to calculate statistics; understand what other software is available for statistical analysis.|
Earning College Credit
Did you know… We have over 200 college courses that prepare you to earn credit by exam that is accepted by over 1,500 colleges and universities. You can test out of the first two years of college and save thousands off your degree. Anyone can earn credit-by-exam regardless of age or education level.
To learn more, visit our Earning Credit Page
Transferring credit to the school of your choice
Not sure what college you want to attend yet? Study.com has thousands of articles about every imaginable degree, area of study and career path that can help you find the school that's right for you.
Research Schools, Degrees & Careers
Get the unbiased info you need to find the right school.
Browse Articles By Category
Browse an area of study or degree level.
- Biological and Biomedical Sciences
- Communications and Journalism
- Computer Sciences
- Culinary Arts and Personal Services
- Liberal Arts and Humanities
- Mechanic and Repair Technologies
- Medical and Health Professions
- Physical Sciences
- Transportation and Distribution
- Visual and Performing Arts
- Statistics Courses and Classes Overview
- Top Schools for Math and Statistics
- Statistics Worksheets
- Careers in Statistics
- Careers Involving Probability & Statistics
- Applied Statistics Courses and Training Programs
- Jobs Involving Sports Statistics & Math
- Top Schools for Statistics
- Careers Involving Statistics
- Online Statistics Courses: Requirements and Classes Available
- Networking School Top School for Computer Networking and Telecommunications - St Louis MO
- Custom Fabrication Degree Programs in WY
- Top University for a Degree in Business Administration - Anaheim CA
- Top Business Marketing Degree Programs - Austin TX
- Top Ranked University Degree Program in Child Development - Bakersfield CA
- Answers and detailed explanations to each question
- Video lessons to explain complicated concepts
Explore our library of over 79,000 lessons
- College Courses
- High School Courses
- Other Courses