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Ch 66: MTTC Math (Secondary): Collecting & Analyzing Data

About This Chapter

As you prepare for the MTTC Mathematics (Secondary) exam complete the activities of this chapter to improve your understanding of the different ways of collecting data and how to avoid confounding variables.

MTTC Math (Secondary): Collecting & Analyzing Data - Chapter Summary

The lesson videos in this chapter will explain the different ways of collecting data, avoiding confounding variables and detecting biases. These lessons are taught by professional instructors whose goal is to help you understand:

  • Methods of survey research
  • Data collection of observational and field research
  • Properties of true experiments
  • Confounding variables
  • Factors that bias statistics, polls and surveys

Following these lessons, complete the assessments that accompany them to improve your understanding of the material presented. Use the results from these assessments to find out what topics you could improve upon, then return to the lessons to improve your understanding of these topics with video tags or lesson transcripts.

8 Lessons in Chapter 66: MTTC Math (Secondary): Collecting & Analyzing Data
Test your knowledge with a 30-question chapter practice test
What Is Survey Research? - Definition, Methods & Types

1. What Is Survey Research? - Definition, Methods & Types

This lesson explores the ways a researcher may employ the types of surveys used in research. We will also go over the strengths and weaknesses of each type of survey.

How Observational & Field Research Are Used to Collect Data

2. How Observational & Field Research Are Used to Collect Data

Psychologists have many different options for where and how to do research. Watch this video to learn more about the difference in field and lab research and the advantages and disadvantages of observational research

Experiments vs Observational Studies: Definition, Differences & Examples

3. 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.

Confounding & Bias in Statistics: Definition & Examples

4. Confounding & Bias in Statistics: Definition & Examples

Statistics can be a powerful tool in research. Unfortunately, statistics can also have faults. In this lesson, you will learn about the faults in statistics and how to critically examine research.

Bias in Polls & Surveys: Definition, Common Sources & Examples

5. Bias in Polls & Surveys: Definition, Common Sources & Examples

When Mark Twain commented that there were three types of lies, he included statistics in the count. In this lesson, we look at bias, one of the ways in which statistics can mislead, and in some cases, flat out lie to us.

True Experiment: Definition & Examples

6. True Experiment: Definition & Examples

A true experiment is thought to be the most accurate experimental research design. Learn more about true experiments from examples and test your knowledge with a quiz.

Confounding Variables in Statistics: Definition & Examples

7. Confounding Variables in Statistics: Definition & Examples

Statistics can be a powerful tool in helping researchers understand and solve problems. However, there are faults that can occur in statistical research. In this lesson, you will learn about one of these faults: confounding variables.

Bias in Statistics: Definition & Examples

8. Bias in Statistics: Definition & Examples

Statistics can be a powerful tool in research. Unfortunately, statistics can also have faults. In this lesson, you will learn about the faults in statistics and how to critically examine potential biases in research.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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