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Ch 50: PLACE Mathematics: Overview of Statistics

About This Chapter

We can help you get an overview of statistics in preparation for the PLACE Mathematics Exam. Our video lessons and self-assessment quizzes give you several approaches that assist you in preparing to correctly answer questions on different types of statistics on the test.

PLACE Mathematics: Overview of Statistics - Chapter Summary

You can use the lessons in this chapter to help you review all the elements of statistics as you prepare for the PLACE Mathematics Exam. The videos cover topics including:

  • Descriptive and inferential statistics
  • Differences between populations, samples, parameters and statistics
  • Quantitative and categorical data
  • Discrete and continuous data
  • Nominal, ordinal, interval and ratio measurements
  • Experiments vs. observational studies
  • Random selection and allocation
  • Convenience sampling

Our experienced instructors review each dimension of statistics, highlighting the most important points. By using our combination of videos, text lessons and quizzes, refreshing your memory of the material is simpler and fun.

Objectives of the PLACE Mathematics: Overview of Statistics Chapter

The PLACE Mathematics Exam is an assessment instrument that measures your knowledge and comprehension of all elements of mathematics in preparation for teacher licensing in Colorado. The topics in this Overview of Statistics chapter are part of the Probability and Statistics section of the test, which makes up 19% of the test. Our self-assessment quizzes that accompany each lesson let you check on your understanding of the material and give you practice with the kinds of questions you'll see on the actual exam. All of the questions on the PLACE Mathematics Exam are multiple choice.

12 Lessons in Chapter 50: PLACE Mathematics: Overview of Statistics
Test your knowledge with a 30-question chapter practice test
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.

Random Selection & Random Allocation: Differences, Benefits & Examples

11. 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.

Convenience Sampling in Statistics: Definition & Limitations

12. Convenience Sampling in Statistics: Definition & Limitations

Convenience sampling is one of the most common types of sampling in research. This is because of the benefits that convenience sample brings to the researcher. However, there are some limitations. You will learn about both in this lesson.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
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Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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Other Chapters

Other chapters within the PLACE Mathematics: Practice & Study Guide course

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