Ch 51: GACE Middle Grades Math: Statistics

About This Chapter

Find out how to use statistics to interpret data sets as you study for the GACE Middle Grades Math assessment. Practice your skills by taking the lesson quizzes and chapter exams, and use the transcripts to learn key mathematical terms.

GACE Middle Grades Math: Statistics - Chapter Summary

Watch the video lessons in this chapter to gain a better grasp of how to transform raw numbers into statistical data. Prepare yourself for the questions on the GACE Middle Grades Math assessment by going over the following major topics:

  • Calculating ranges, medians, means, and modes
  • Quantitative data and variables
  • Data set processing, ordering, and ranking
  • Percentiles and data set spreads
  • Standard deviations

This chapter on statistics covers many topics, which is why we have designed our lessons to address each individual topic in a short and entertaining video. All of the videos can be watched repeatedly for maximum retention, and the transcripts include bold keywords as well as the mathematical formulas discussed in each lesson. If you use our materials as a refresher course, you can click the video tags to move quickly from one main topic to the next. We also have instructors available just in case you have any questions or need further clarification on a topic.

GACE Middle Grades Math: Statistics Objectives

The GACE Middle Grades Math assessment determines whether a teacher in the state of Georgia possesses the right level of mathematical knowledge to work in the public school system. Test-takers will have two hours to answer 45 selected-response style questions. All tests are administered via computer. About 65% of the questions on the test will cover topics related to arithmetic and algebra, and the remaining 35% of the questions will address concepts in the fields of geometry and data. Questions concerning statistics will most likely be in the geometry and data sections of the assessment, therefore, completing the video lessons in this chapter should prepare you to select the correct answers for up to 35% of the exam's questions.

17 Lessons in Chapter 51: GACE Middle Grades Math: Statistics
Test your knowledge with a 30-question chapter practice test
Identifying & Calculating Averages

1. Identifying & Calculating Averages

After watching this video lesson, you will be able to calculate any kind of average, even the average of certain events when some events repeat. Learn the general formula to use to calculate any average.

Calculating Weighted Average: Method, Formula & Example

2. Calculating Weighted Average: Method, Formula & Example

This lesson will examine the concept of a weighted average and types of situations when it should be used instead of a standard average. It will also give some real-world examples of a weighted average.

Mean, Median & Mode: Measures of Central Tendency

3. Mean, Median & Mode: Measures of Central Tendency

By describing the data using central tendency, a researcher and reader can understand what the typical score looks like. In this lesson, we will explore in more detail these measures of central tendency and how they relate to samples and populations.

How to Calculate Mean, Median, Mode & Range

4. 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.

Calculating the Mean, Median, Mode & Range: Practice Problems

5. Calculating the Mean, Median, Mode & Range: Practice Problems

Calculating the mean, median, mode, and range of a data set is a fundamental part of learning statistics. Use this video to practice your skills and then test your knowledge with a short quiz.

What is Quantitative Data? - Definition & Examples

6. 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.

Continuous, Discrete & Categorical Variables: Definition and Examples

7. Continuous, Discrete & Categorical Variables: Definition and Examples

When doing research, variables come in many types. In this lesson, we'll explore the three most common types of variables: continuous, discrete, and categorical.

Scales of Measurement: Nominal, Ordinal, Interval & Ratio

8. Scales of Measurement: Nominal, Ordinal, Interval & Ratio

When doing research, variables are described on four major scales. In this lesson, we'll look at the major scales of measurement, including nominal, ordinal, interval, and ratio scales.

Ordering & Ranking Data: Process & Example

9. Ordering & Ranking Data: Process & Example

Ordering and ranking data can often be more important than you might think. In addition to being an important part of competitions, ranking data can be another way of analyzing and evaluating research.

What is the Center in a Data Set? - Definition & Options

10. What is the Center in a Data Set? - Definition & Options

Finding the center in a data set can sometimes be a little confusing. This lesson will help you determine the correct method for finding the center in a data set, and when you are finished, test your knowledge with a short quiz!

Visual Representations of a Data Set: Shape, Symmetry & Skewness

11. Visual Representations of a Data Set: Shape, Symmetry & Skewness

Visual representations are a fantastic way of understanding and analyzing your data. Use this lesson to understand the characteristics of visual representations of data.

Unimodal & Bimodal Distributions: Definition & Examples

12. Unimodal & Bimodal Distributions: Definition & Examples

Sometimes a single mode does not accurately describe a data set. In this lesson, learn the differences between and the uses of unimodal and bimodal distribution. When you are finished, test your knowledge with a quiz!

Spread in Data Sets: Definition & Example

13. Spread in Data Sets: Definition & Example

Identifying the spread in data sets is a very important part of statistics. You can do this several ways, but the most common methods are through range, interquartile range, and variance.

Maximums, Minimums & Outliers in a Data Set

14. Maximums, Minimums & Outliers in a Data Set

When analyzing data sets, the first thing to identify is the maximums, minimums, and outliers. This lesson will help you learn how to identify these important items.

Quartiles & the Interquartile Range: Definition, Formulate & Examples

15. Quartiles & the Interquartile Range: Definition, Formulate & Examples

Quartiles and the interquartile range can be used to group and analyze data sets. In this lesson, learn the definition and steps for finding the quartiles and interquartile range for a given data set.

Finding Percentiles in a Data Set: Formula & Examples

16. Finding Percentiles in a Data Set: Formula & Examples

Percentiles are often used in academics to compare student scores. Finding percentiles in a data set can be a useful way to organize and compare numbers in a data set.

Calculating the Standard Deviation

17. 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.

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

Earning College Credit

Did you know… We have over 200 college courses that prepare you to earn credit by exam that is accepted by over 1,500 colleges and universities. You can test out of the first two years of college and save thousands off your degree. Anyone can earn credit-by-exam regardless of age or education level.

To learn more, visit our Earning Credit Page

Transferring credit to the school of your choice

Not sure what college you want to attend yet? Study.com has thousands of articles about every imaginable degree, area of study and career path that can help you find the school that's right for you.

Other Chapters

Other chapters within the GACE Middle Grades Mathematics (013): Practice & Study Guide course

Support