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Ch 54: Basic Statistics & Probability

About This Chapter

The fun video lessons in this chapter can help you become better acquainted with basic statistics and probability. Access the lessons at your leisure, and boost your knowledge of sample variance, rules of probability, permutations and more.

Basic Statistics & Probability - Chapter Summary

Enhance your confidence as you study basic statistics and probability by reviewing entertaining lessons. Instructors have created videos you can watch to gain greater insight into the mathematical operations used to calculate the measures of central tendency, various types of probabilities and more. Review the lessons to make sure you're prepared for:

  • Calculating mean, median, mode and range
  • Defining unimodal and bimodal distributions, population and sample variance
  • Describing the probability of simple, compound, complementary, independent and dependent events
  • Showcasing your ability to calculate simple conditional probabilities
  • Explaining the relationship between conditional probabilities and independence
  • Providing details about the addition and multiplication rules of probability
  • Sharing the formula for math combinations
  • Demonstrating how to calculate a permutation and the probability of permutations

The resources in this chapter make it easy for you to improve and test your knowledge of basic statistics and probability. Review the lessons in your home or on the go via your computer, smartphone or tablet. Access them any time, day or night, in any sequence you desire. Watch engaging videos or read full transcripts with helpful vocabulary words. And at any time, assess your understanding by taking short lesson quizzes and a chapter exam.

14 Lessons in Chapter 54: Basic Statistics & Probability
Test your knowledge with a 30-question chapter practice test
Mean, Median & Mode: Measures of Central Tendency

1. 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.

How to Calculate Mean, Median, Mode & Range

2. How to Calculate Mean, Median, Mode & Range

Measures of central tendency can provide valuable information about a set of data. In this lesson, explore how to calculate the mean, median, mode and range of any given data set.

Unimodal & Bimodal Distributions: Definition & Examples

3. Unimodal & Bimodal Distributions: Definition & Examples

Sometimes a single mode does not accurately describe a data set. In this lesson, learn the differences between and the uses of unimodal and bimodal distribution. When you are finished, test your knowledge with a quiz!

Population & Sample Variance: Definition, Formula & Examples

4. Population & Sample Variance: Definition, Formula & Examples

Population and sample variance can help you describe and analyze data beyond the mean of the data set. In this lesson, learn the differences between population and sample variance.

Probability of Simple, Compound and Complementary Events

5. 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.

Probability of Independent and Dependent Events

6. Probability of Independent and Dependent Events

Sometimes probabilities need to be calculated when more than one event occurs. These types of compound events are called independent and dependent events. Through this lesson, we will look at some real-world examples of how to calculate these probabilities.

How to Calculate Simple Conditional Probabilities

7. How to Calculate Simple Conditional Probabilities

Conditional probability, just like it sounds, is a probability that happens on the condition of a previous event occurring. To calculate conditional probabilities, we must first consider the effects of the previous event on the current event.

The Relationship Between Conditional Probabilities & Independence

8. The Relationship Between Conditional Probabilities & Independence

Conditional and independent probabilities are a basic part of learning statistics. It's important that you can understand the similarities and differences between the two as discussed in this lesson.

The Addition Rule of Probability: Definition & Examples

9. The Addition Rule of Probability: Definition & Examples

In this lesson, you will learn the differences between mutually exclusive and non-mutually exclusive events and how to find the probabilities of each using the Addition Rule of Probability.

The Multiplication Rule of Probability: Definition & Examples

10. The Multiplication Rule of Probability: Definition & Examples

The Multiplication Rule of Probability is a concept you will use frequently when solving probability equations. In this lesson, learn the two different scenarios in which you will use the multiplication rule of probability.

Math Combinations: Formula and Example Problems

11. Math Combinations: Formula and Example Problems

Combinations are an arrangement of objects where order does not matter. In this lesson, the coach of the Wildcats basketball team uses combinations to help his team prepare for the upcoming season.

How to Calculate a Permutation

12. How to Calculate a Permutation

A permutation is a method used to calculate the total outcomes of a situation where order is important. In this lesson, John will use permutations to help him organize the cards in his poker hand and order a pizza.

How to Calculate the Probability of Permutations

13. How to Calculate the Probability of Permutations

In this lesson, you will learn how to calculate the probability of a permutation by analyzing a real-world example in which the order of the events does matter. We'll also review what a factorial is. We will then go over some examples for practice.

Relative Frequency & Classical Approaches to Probability

14. Relative Frequency & Classical Approaches to Probability

To understand probability, it is important to understand the foundations. In this lesson, you will learn about relative frequency and the foundations of understanding probability.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
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Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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