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Ch 1: Data Types & Measurements in Statistics

About This Chapter

Learn to distinguish between the different types of data with the help of engaging video lessons and quizzes outlining the uses of descriptive and inferential statistics, quantitative and categorical data, ratio measurements and more.

Data Types & Measurements in Statistics - Chapter Summary and Learning Objectives

Watch this chapter's animated video lessons to learn how statistics are used to draw conclusions about a population. Our instructors' approachable teaching style can help you sort out the differences between quantitative and categorical data types, including discrete, continuous, nominal and ordinal data. Lessons in this chapter cover the following topics:

  • Populations and parameters
  • Samples and statistics
  • Types of data
  • Levels of measurement
  • Data collection techniques

Video Objectives
Descriptive & Inferential Statistics: Definition, Differences & Examples Learn to differentiate between these two types of statistics.
What's the Difference Between Populations & Samples? - Lesson & Quiz Find out how to distinguish a sample from a population.
Defining the Difference Between Parameters & Statistics: Lesson & Quiz Explore the relationship between populations, parameters, samples and statistics.
Estimating a Parameter from Sample Data: Process & Examples Practice using statistics to estimate a population's parameters.
What Is Quantitative Data? - Definition & Examples Examine the characteristics of discrete and continuous data.
What Is Categorical Data? - Definition & Examples Discover what distinguishes categorical data from quantitative data and explore its uses.
Discrete & Continuous Data: Definition & Examples Learn to tell the difference between the types of data that can and cannot be divided.
Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples Take a closer look at these levels of measurement.
Evidence for the Strength of a Model Through Gathering Data: Lesson & Quiz Find out how data can be used to determine the strength of a model.
Experiments vs. Observational Studies: Definition, Differences & Examples Survey the components of these two data collection techniques.

10 Lessons in Chapter 1: Data Types & Measurements in Statistics
Descriptive & Inferential Statistics: Definition, Differences & Examples

1. Descriptive & Inferential Statistics: Definition, Differences & Examples

Descriptive and inferential statistics each give different insights into the nature of the data gathered. One alone cannot give the whole picture. Together, they provide a powerful tool for both description and prediction.

Difference between Populations & Samples in Statistics

2. Difference between Populations & Samples in Statistics

Before you start collecting any information, it is important to understand the differences between population and samples. This lesson will show you how!

Defining the Difference between Parameters & Statistics

3. Defining the Difference between Parameters & Statistics

Using data to describe information can be tricky. The first step is knowing the difference between populations and samples, and then parameters and statistics.

Estimating a Parameter from Sample Data: Process & Examples

4. Estimating a Parameter from Sample Data: Process & Examples

One of the most useful things we can do with data is use it to describe a population. Learn how in this lesson as we discuss the concepts of parameters and samples.

What is Quantitative Data? - Definition & Examples

5. What is Quantitative Data? - Definition & Examples

Watch this video lesson to find out the difference between saying you have seven apples and saying that those apples are delicious. You will learn about quantitative data and why it is useful.

What is Categorical Data? - Definition & Examples

6. What is Categorical Data? - Definition & Examples

Categorical data is one of two types of data that you can collect when conducting research. This lesson will teach you how to understand and use categorical data.

Discrete & Continuous Data: Definition & Examples

7. Discrete & Continuous Data: Definition & Examples

You might be surprised to find that data is more than just a collection of numbers. Data is divided into several categories, including discrete and continuous data. Find out why!

Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples

8. Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples

Different types of data can be grouped and measured in different ways. In this lesson, you will learn about nominal, ordinal, interval, and ratio measurements.

The Purpose of Statistical Models

9. The Purpose of Statistical Models

Understanding statistics requires that you understand statistical models. This lesson will help you understand the purpose of statistics, statistical models, and types of variables.

Experiments vs Observational Studies: Definition, Differences & Examples

10. Experiments vs Observational Studies: Definition, Differences & Examples

There are different ways to collect data for research. In this lesson, you will learn about collecting data through observational studies and experiments and the differences between each.

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