About This Chapter
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
|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.|
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.
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!
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.
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.
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.
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.
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!
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.
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.
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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Other chapters within the DSST Principles of Statistics: Study Guide & Test Prep course
- Sampling Methods in Statistics
- Descriptive Statistics of Data Sets
- Visual Representations in Statistics
- Probability: Rules for Events
- Probability Combinations, Permutations & Expected Values
- Probability: Discrete & Continuous Distributions
- Correlation & Regression in Statistics
- Sampling Distributions in Statistics
- Hypothesis Testing in Inferential Statistics
- About the DSST Tests