About This Chapter
Basics of Probability & Statistics - Chapter Summary
Expert instructors in this chapter take you on a journey through important probability and statistics concepts, ensuring you fully comprehend skewness, complementary events, the measures of central tendency and more. By reviewing each lesson in this chapter, you will be ready to do the following:
- Differentiate between the probabilities of simple, compound and complementary events
- List and describe the visual representations of a data set
- Compare and contrast mean, median and mode
- Define variability and discuss measures of variability in statistics
This chapter ensures you're easily able to fit your study of probability and statistics into a busy schedule. All lessons are available 24/7 and can be viewed from any location with an Internet connection using your computer or mobile device of choice. Speed up your study process by selecting the lesson format (video or transcript) that best suits your learning style. Our multiple-choice quizzes and practice exam can give you a quick gauge of your understanding of this chapter.
1. Probability of Simple, Compound and Complementary Events
Simple, compound, and complementary events are different types of probabilities. Each of these probabilities are calculated in a slightly different fashion. In this lesson, we will look at some real world examples of these different forms of probability.
2. Visual Representations of a Data Set: Shape, Symmetry & Skewness
Visual representations are a fantastic way of understanding and analyzing your data. Use this lesson to understand the characteristics of visual representations of data.
3. Mean, Median & Mode: Measures of Central Tendency
By describing the data using central tendency, a researcher and reader can understand what the typical score looks like. In this lesson, we will explore in more detail these measures of central tendency and how they relate to samples and populations.
4. Variability in Statistics: Definition & Measures
Variability is a measure of the spread of a data set. Learn more about the different measures of variability including the range, variance, and standard deviation, and the way in which they are used in the field of psychology.
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