About This Chapter
Population & Samples - Chapter Summary
In this chapter, you can go over topics relating to populations, random selection, domain and range, parameters and random samples. Each lesson provides detailed examples to clarify the material. You'll review term definitions, and see how to apply these statistical concepts and methods within real-word scenarios. Once you have viewed each lesson, you should be able to do the following:
- Differentiate between populations and samples and parameters and statistics
- Understand the application of domain and range in the real world
- Describe the difference between random selection and random allocation
- Discuss how to collect data using the random sampling method
Expert instructors simplify this material to ensure that you understand and retain the information. Lessons are accessible 24/7 from any device, so you can fit your studies into any schedule. Take short self-assessment quizzes to demonstrate how much you have learned, and track your progress on your Dashboard as you move through this chapter.
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. Applying Domain & Range in Real World Settings
In this lesson, we'll review the domain and range of a function. Then, we'll look at examples of applying the domain and range in real-world settings and explore the information that the domain and range can provide in day-to-day situations.
4. Random Selection & Random Allocation: Differences, Benefits & Examples
Random selection and random allocation are often confused with one another. This lesson will help you remember the differences between them and learn how to use each method.
5. Simple Random Samples: Definition & Examples
Simple random sampling is a common method used to collect data in many different fields. From psychology to economics, simple random sampling can be the most feasible way to get information. Learn all about it in this lesson!
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Other chapters within the VCE Further Mathematics: Exam Prep & Study Guide course
- Categorical Data Representation
- Numerical Data Representation
- Data Distribution
- Correlation & Causation in Math
- Non-Causal Relationships in Statistics
- Linear Relationships
- Time Series Data
- Recursion & Financial Modeling
- Concepts of Financial Mathematics
- Matrices Overview
- Graphs & Networks
- Paths & Circuits
- Problem Solving With Networks
- Geometric Solids
- Measurement & Trigonometry
- Spherical Geometry
- Applications of Spherical Geometry
- Graphs & Relations
- Linear Programming Overview
- VCE Further Mathematics Flashcards