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Ch 15: MTLE Elementary Education: Data Analysis

About This Chapter

Learn about data analysis as it relates to elementary education through this chapter of the MTLE Elementary Education exam study guide. Video lessons and quizzes can teach you about the subject as you seek teacher licensure in Minnesota.

MTLE Elementary Education: Data Analysis - Chapter Summary

Lessons in this chapter cover central tendency measures as well as simple, compound and complementary events. Go through each of the lessons in order to get ready for the MTLE Elementary Education exam. By the end of this chapter, you should be familiar with:

  • Data collection strategies
  • Median, mean, mode and range
  • Graph construction
  • Calculating the probability of events
  • The definition, conditions and measures of random sampling

Knowledgeable instructors walk you through each short, engaging video lesson. You can skip to main topics in each video using the jump feature, or test your knowledge of the material with self-assessment quizzes. The quizzes can also be printed as worksheets to help you study. Track your progress by visiting your Dashboard.

MTLE Elementary Education: Data Analysis Chapter Objectives

The MTLE Elementary Education exam measures a student's knowledge of subject matter in accordance with Minnesota educator licensure regulations. The exam measures reading, communication arts, mathematics, health/fitness and fine arts, science, and social studies. The material covered in this Data Analysis chapter shows up in the mathematics portion of the MTLE exam, which comprises about 75% of Subtest 2. The exam includes approximately 150 multiple-choice questions that span three subtests.

5 Lessons in Chapter 15: MTLE Elementary Education: Data Analysis
Test your knowledge with a 30-question chapter practice test
Strategies for Choosing a Data Collection Technique

1. Strategies for Choosing a Data Collection Technique

After figuring out what you are going to study, you, as the researcher, will need to figure out how to study it. This lesson discusses popular ways a researcher can collect data as well as why a researcher would chose a particular data collection technique.

How to Calculate Mean, Median, Mode & Range

2. How to Calculate Mean, Median, Mode & Range

Measures of central tendency can provide valuable information about a set of data. In this lesson, explore how to calculate the mean, median, mode and range of any given data set.

How to Construct Graphs from Data

3. How to Construct Graphs from Data

This video describes how to create a line graph and explains the four main parts that graphs need to contain: 1. previously collected data, 2. picture representations, 3. use of the correct graph type, and 4. labels. This lesson also covers dependent and independent variables.

Probability of Simple, Compound and Complementary Events

4. Probability of Simple, Compound and Complementary Events

Simple, compound, and complementary events are different types of probabilities. Each of these probabilities are calculated in a slightly different fashion. In this lesson, we will look at some real world examples of these different forms of probability.

What is Random Sampling? - Definition, Conditions & Measures

5. What is Random Sampling? - Definition, Conditions & Measures

Random sampling is used in many research scenarios. In this lesson, you will learn how to use random sampling and find out the benefits and risks of using random samples.

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.
Not Taken

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Other Chapters

Other chapters within the MTLE Elementary Education: Practice & Study Guide course

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