Ch 65: MTTC Math (Secondary): Data & Statistics

About This Chapter

This chapter's engaging lessons will help you review important topics concerning data and statistics, such as measures of central tendency and regression analysis, that you'll see on the MTTC Math (Secondary) exam.

MTTC Math (Secondary): Data & Statistics - Chapter Summary

This chapter has been assembled to refresh your memory on data and statistics material you've already learned, and to possibly introduce you to something new. As a result, you should be well-prepared for any MTTC Math (Secondary) questions asking about:

  • Weighted average, mean, median and mode of a data set
  • Calculating the range and standard deviation of a data set
  • Measures of skewness and dispersion
  • Qualities and uses of quantitative data
  • Scales of measurement
  • Different ways to rank data
  • Quartiles and the interquartile range
  • Minimums, maximums and outliers
  • Histograms and representations of normal distributions
  • Calculating percentiles in data sets

Be sure to ask our instructors any questions you may have about these lessons so that you can effectively master the material presented in them. Insure your retention of the information by completing the lesson assessments. Use the results from these assessments to find out any topics you don't know and return to the lesson videos to fortify your understanding of them. As you do, use video tags to skip over the areas you already fully comprehend.

14 Lessons in Chapter 65: MTTC Math (Secondary): Data & 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 the Mean, Median, Mode & Range: Practice Problems

2. 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.

Measures of Dispersion and Skewness

3. Measures of Dispersion and Skewness

Watch this video lesson to learn how you can describe your data using two different statistical characteristics. Learn what it means for your graph to have variability and what it means for your graph to be skewed.

Ordering & Ranking Data: Process & Example

4. 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

5. 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

6. 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.

Normal Distribution: Definition, Properties, Characteristics & Example

7. Normal Distribution: Definition, Properties, Characteristics & Example

In this lesson, we will look at the Normal Distribution, more commonly known as the Bell Curve. We'll look at some of its fascinating properties and learn why it is one of the most important distributions in the study of data.

Unimodal & Bimodal Distributions: Definition & Examples

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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.

Regression Analysis: Definition & Examples

14. Regression Analysis: Definition & Examples

Watch this video lesson to learn about regression analysis and how you can use it to help you analyze and better understand data that you receive from surveys or observations. Learn what is involved in regression analysis and what to look out for.

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

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