About This Chapter
FTCE: Data Analysis - Chapter Summary
Use these helpful video lessons to brush up on data analysis for the FTCE General Knowledge Test. You'll cover strategies for understanding, analyzing and making predictions from a variety of different types of data organization. By the end of the chapter, you'll have covered the following topics:
- Bar graphs, pie charts, tables, histograms, pictographs and line graphs
- Using categorical data to make estimates and predictions
- Quantitative and categorical data
- Calculating mean, mode, median and range
- Shifts in mean and standard deviation
- Observational studies, experiments and sample surveys
These lessons will get you up to speed on data analysis in less time. Each lesson lasts between five and ten minutes and clearly explains concepts in a way that is easy to remember. Assess what you know and what you need to work on with interactive lesson quizzes and the chapter exam.
FTCE: Data Analysis Objectives
The FTCE General Knowledge Test is part of the educator certification requirements in the state of Florida. This chapter on data analysis will prepare you for questions in the Mathematics subtest of the exam. This subtest takes one hour and 40 minutes to complete and includes 45 multiple-choice questions. The fourth competency area of the subtest includes questions relevant to the information in this chapter. Get an idea of the questions' format from the practice questions included in this chapter.
1. Understanding Bar Graphs and Pie Charts
In this lesson, we will examine two of the most widely used types of graphs: bar graphs and pie charts. These two graphs can provide the reader with a comparison of the different data that is displayed.
2. What is a Histogram in Math? - Definition & Examples
Watch this video lesson to see how useful a histogram can be when you need to show a bunch of data in an easy to read format. Also, learn how you can easily gather the information you need from looking at a histogram.
3. Reading and Interpreting Line Graphs
Watch this video lesson to find out how useful line graphs can be and how much information you can gain just from looking at one. Learn how you can apply that information in your own life to help you make better decisions.
4. Reading & Interpreting Pictographs
Imagine reading chart after chart of the same dry information. Now imagine if that information could be presented with images and in only one chart. Much better, right? That's exactly what pictographs allow us to do.
5. Make Estimates and Predictions from Categorical Data
Categorical data can be estimated but not predicted. Learn why in this video lesson along with how to read and gather information from a bar graph of categorical data.
6. Misleading Graphs: Definition & Examples
In this lesson, you'll learn the definition of misleading graphs and explore some examples to see how and why they are produced. Following the lesson, you'll have a chance to test your own understanding of misleading graphs.
7. Interpreting Graphs and Charts of Scientific Data: Practice Problems
Do charts and graphs make problem-solving difficult? Complex problems with visual representations can drain your brain during a test. In this lesson, learn three simple rules for solving problems with charts and graphs. We'll try them out as we walk through two sample problems.
8. Summarizing Categorical Data using Tables
Watch this video lesson to find out why data tables are an excellent way to summarize your categorical data. Learn what you need to do to your data before constructing a table and the two ways you can show your data.
9. 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.
10. Making Estimates and Predictions using Quantitative Data
Watch this video lesson to learn how you can read a scatter plot to learn more about a particular situation. Also learn how you can make estimates within the range of data you have and predict what may happen outside the range of data.
11. Mean, Median, Mode & Range
In this lesson, explore how to calculate the mean, median, mode and range of any given data set. These calculations, known as measures of central tendency, can provide valuable information about a data set.
12. Calculating the Standard Deviation
In this lesson, we will examine the meaning and process of calculating the standard deviation of a data set. Standard deviation can help to determine if the data set is a normal distribution.
13. 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.
14. 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 FTCE General Knowledge Test (GK) (082): Study Guide & Prep course
- About the FTCE General Knowledge Test
- FTCE: Word Choice
- FTCE: Sentence Structure
- FTCE: Grammar Skills
- FTCE: Spelling, Capitalization & Punctuation
- FTCE: Essay Skills
- FTCE: Essay Writing
- FTCE: Literal Reading Comprehension
- FTCE: Inferential Comprehension
- FTCE: Number Sense and Math Operations
- FTCE: Measurement
- FTCE: Geometry and Spatial Sense
- FTCE: Algebraic Thinking
- FTCE: The Coordinate Plane
- FTCE: Probability
- Studying for FTCE General Knowledge
- FTCE General Knowledge Test Flashcards