About This Chapter
TECEP Principles of Statistics: Summarizing Data - Chapter Summary
Study these concise and engaging video lessons to fully understand how to summarize data and prepare for the TECEP Principles of Statistics exam. The chapter covers the following skills needed for the test:
- Examining frequency, relative frequency and cumulative frequency tables
- Defining percentile rank, skewed distribution and scatterplots
- Understanding bar graphs and pie charts
- Creating and interpreting frequency polygons
- Recognizing two-way tables
- Outlining the process of creating and interpreting histograms
This chapter's expert instructors break down each concept in an easy-to-understand manner, which helps you study for the test quickly and efficiently. The lessons also provide many examples and practice problems so you can make sure you're able to take away these skills and apply them to the TECEP statistics test. You can also take the included lesson quizzes and chapter exam to make sure you know how to read graphs and understand how to interpret and summarize data.
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1. Frequency & Relative Frequency Tables: Definition & Examples
Frequency and relative frequency tables are a good way to visualize information. This is especially useful for information that is grouped into categories where you are looking for popularity or mode.
2. Cumulative Frequency Tables: Definition, Uses & Examples
Cumulative frequency tables can help you analyze and understand large amounts of information. In this lesson, you practice creating and interpreting cumulative frequency tables.
3. Difference Between Grouped and Ungrouped Data
Data can be presented as simply a list of numbers or descriptions, or it can be organized into groups. In this lesson, you'll learn how to tell the difference between grouped and ungrouped data and how to turn ungrouped data into grouped data.
4. Percentile Rank in Statistics: Definition & Formula
In this lesson, you will learn to define percentile rank and learn how it is calculated. Following this lesson, you will have the opportunity to test your knowledge with a short quiz.
5. Understanding Bar Graphs and Pie Charts
In this lesson, we will examine two of the most widely used types of graphs: bar graphs and pie charts. These two graphs can provide the reader with a comparison of the different data that is displayed.
6. What is an Area Chart? - Definition & Examples
Area charts are one way to visually represent quantities that change over time. They can show how just one quantity changes, or show the changes in many quantities. In this lesson, learn about the different types of area charts and how to interpret them.
7. Creating & Interpreting Frequency Polygons: Process & Examples
Frequency polygons can be used to analyze data sets in many different ways. They are also a great way to visualize and compare two sets of data. In this lesson, learn the uses and create a frequency polygon.
8. Skewed Distribution: Examples & Definition
Skewed distributions are asymmetrical and have data that clusters toward one end. In this lesson, learn about positively skewed distributions, negatively skewed distributions, and more.
9. Scatterplots and Line Graphs: Definitions and Uses
After watching this video, you will be able to understand scatter plots and line graphs. You will also be able to use them to tell people a story about what you see and observe. You will also be able to read them.
10. What is a Two-Way Table?
Do you believe in Martians? Do you watch football on television? A Two-Way Table or Contingency Table is a great way to show the results of all kinds of survey questions. In this video we will learn how to read a two-way table.
11. Creating & Interpreting Histograms: Process & Examples
Creating histograms can help you easily identify and interpret data. This lesson will give you several examples to better understand histograms and how to create them.
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Other chapters within the TECEP Principles of Statistics: Study Guide & Test Prep course
- TECEP Principles of Statistics: Measurement
- TECEP Principles of Statistics: Central Tendency & Variability
- TECEP Principles of Statistics: Probability
- TECEP Principles of Statistics: Probability Distributions
- TECEP Principles of Statistics: Correlation
- TECEP Principles of Statistics: Regression
- TECEP Principles of Statistics: Population, Samples & Probability
- TECEP Principles of Statistics: Hypothesis Testing & Estimation
- TECEP Principles of Statistics: t-Tests
- TECEP Principles of Statistics: ANOVA
- TECEP Principles of Statistics: Chi-Square Test
- TECEP Principles of Statistics Flashcards