About This Chapter
Statistical Models & Processes - Chapter Summary
This helpful chapter outlines statistical models and processes. In these lessons, you'll find topics including the difference between statistical populations and samples, as well as the difference between statistics and parameters. Once you complete this chapter, you should be ready to:
- Define the process for estimating a parameter from sample data
- Describe the purpose of statistical models
- Understand how to determine if a statistical model is consistent with results
- Outline random, biased and representative samples
- Differentiate between observational studies and experiments
- Draw conclusions from sample surveys
Our learning tools are designed by experts to make your study experience enjoyable and thorough. Before or after reviewing the lessons, take the associated short quizzes to see how well you understand these topics. All of our video lessons are easy to navigate using the video tabs feature in the Timeline. We've made it easy for you to study by making these resources available 24 hours a day.
1. 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!
2. 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.
3. 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.
4. 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.
5. Samples: Representative, Random & Biased
When conducting statistical research, a great deal of importance hinges on the type of sample you use. In this lesson, we will learn about representative, random, and biased samples, as well as which is best for what situation.
6. 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.
7. Drawing Conclusions from Sample Surveys
In this lesson, we look at a fictitious survey and show how to draw conclusions based on several criteria. Being able to discern the criteria of a good survey allows valid conclusions to follow the statistical analysis.
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Other chapters within the GACE Special Education Mathematics & Science (088): Practice & Study Guide course
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