18 and older
This course discusses the transition phase between descriptive statistics and inferential statistics. Students will take the next step and learn the knowledge necessary to understand more complex statistical inference.Course Lessons:Probability
Probability is the key to understanding statistics. With this topic, students will gain a fundamental knowledge of the rules of probability and counting in order to understand more advanced topics in statistics. Topics that will be covered:
- Basic probability rules
- The additive and multiplicative rule of probability
- Random variables
- Expected values
- Binomial Distribution
Sampling Distributions bridge the gap between basic descriptive statistics and inferential statistics. Understanding these distributions is key in order to understand and be able to conduct advanced statistical inference.
Headsets for free, Guaranteed to Run, Re-Takes for free (Up to 6 months), Interactive Classroom environment.Registration Note:
- The Normal Distribution
- The Central Limit Theorem
- Approximating the Binomial Distribution
- Point Estimation
- Basics of Confidence Intervals
We can only accept students into our classes whose tuition is being paid by an employer or sponsoring organization. Self-paying individuals cannot enroll.
Courseware (if a course has a Courseware) will be shipped to the address provided two weeks before the class starts. Make sure that the additional info field is properly and correctly filled out to avoid Courseware being lost in transit. Please also note that P.O. Box addresses are not allowed.
The classes are instructor-led live training you attend in a local classroom or from your home/office. Our instructors teach from a remote location while being able to interact with students as in a traditional classroom setting.
Instructors can view student progress and take control of their PC to provide direct assistance. Students can see the instructor's presentation as well as voice questions directly to the instructor and participate in class discussions.