- Course type: Self-paced
- Available Lessons: 108
- Average Lesson Length: 8 min
- New lessons are still being added
Watch a preview:chapter 1 / lesson 1Descriptive & Inferential Statistics: Definition, Differences & Examples
Course SummaryStrengthen your knowledge of basic statistics concepts using this Introduction to Statistics: Tutoring Solution course. Enjoy the ability to study at your own pace in a secure online environment with help from informative lessons, short quizzes, practice exams and more.
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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
How it works:
- Begin your exam review, assignment or other statistics work.
- Identify the concepts that you're stuck on.
- Find the video tutorials on the topics you need to understand.
- Press play, watch and learn!
- Test your understanding with quizzes and practice exams.
Who's it for?
This tutoring solution will benefit any student who is trying to learn statistics material and earn better grades. This resource can help students including those who:
- Struggle with understanding the mean and median, standard deviation, cumulative frequency, conditional probability, random sampling, sample size or any other statistics topic
- Have limited time for studying
- Want a cost effective way to supplement their math learning
- Prefer learning math visually
- Find themselves failing or close to failing statistics
- Cope with ADD or ADHD
- Want to get ahead in statistics
- Don't have access to their math teacher outside of class
Why it works:
- Engaging Tutors: We make learning statistics simple and fun.
- Cost Efficient: For about 20% of the cost of a private tutor, you'll have unlimited access 24/7.
- Consistent High Quality: Unlike a live statistics tutor, these video lessons are thoroughly reviewed.
- Convenient: Imagine a tutor as portable as your laptop, tablet or smartphone. Learn statistics on the go!
- Learn at Your Pace: You can pause and rewatch lessons as often as you'd like, until you master the material.
- Become familiar with the basics of statistics, such as types of data, experimental design and the implications of bias.
- Understand how to summarize data by organizing the data set and calculating mean, median, mode and range.
- Learn how to create and interpret different types of tables and plots.
- Calculate the probability of different types of events.
- Find expected values.
- Graph probability distributions.
- Take a look at examples of different types of random samples.
- Explain how to find confidence intervals.
- Describe the process for testing a hypothesis.
- Discuss correlation and regression.
Earning College Credit
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