Ch 12: Understanding Basic Statistics

About This Chapter

Deepen your understanding of basic statistics using this chapter's entertaining video lessons, short quizzes and practice exam. These study resources are available 24/7 and can be used to enhance your ability to excel on an upcoming test.

Understanding Basic Statistics - Chapter Summary

Whether you are looking for a resource that can refresh or improve your knowledge of basic statistics, this short chapter can help. Watch fun video lessons developed by our top instructors to study spread in data sets, the interquartile range, the formula for calculating weighted average and much more. Upon completion of this chapter, you will be able to:

  • Define and provide an example of the spread in data sets
  • Identify minimums, maximums and outliers in data sets
  • Find quartiles and the interquartile range for a data set
  • Explain how mean, median and mode relate to samples and populations
  • Calculate the range, median, mode and mean for a given data set
  • Discuss when a weighted average should be used instead of a standard average

Watch the lessons as short videos if you'd like to study basic statistics with help from fun visual effects, or scroll below the videos to access full transcripts if you'd prefer to view the lessons in text form. Choose any number of lessons to review, and assess your comprehension of the concepts they cover by taking mini quizzes. If you have questions about the lessons you study, feel free to submit them to our experts using the Dashboard.

6 Lessons in Chapter 12: Understanding Basic Statistics
Test your knowledge with a 30-question chapter practice test
Spread in Data Sets: Definition & Example

1. Spread in Data Sets: Definition & Example

Identifying the spread in data sets is a very important part of statistics. You can do this several ways, but the most common methods are through range, interquartile range, and variance.

Maximums, Minimums & Outliers in a Data Set

2. Maximums, Minimums & Outliers in a Data Set

When analyzing data sets, the first thing to identify is the maximums, minimums, and outliers. This lesson will help you learn how to identify these important items.

Quartiles & the Interquartile Range: Definition, Formulate & Examples

3. Quartiles & the Interquartile Range: Definition, Formulate & Examples

Quartiles and the interquartile range can be used to group and analyze data sets. In this lesson, learn the definition and steps for finding the quartiles and interquartile range for a given data set.

Mean, Median & Mode: Measures of Central Tendency

4. 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.

Calculating the Mean, Median, Mode & Range: Practice Problems

5. Calculating the Mean, Median, Mode & Range: Practice Problems

Calculating the mean, median, mode, and range of a data set is a fundamental part of learning statistics. Use this video to practice your skills and then test your knowledge with a short quiz.

Calculating Weighted Average: Method, Formula & Example

6. Calculating Weighted Average: Method, Formula & Example

This lesson will examine the concept of a weighted average and types of situations when it should be used instead of a standard average. It will also give some real-world examples of a weighted average.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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