ORELA Math: Summarizing Data - Videos & Lessons

About This Chapter

The ORELA Mathematics certification exam used in the state of Oregon to certify math teachers. Watch these lesson videos to refresh your knowledge of the descriptive statistics used to summarize data as part of your review for the ORELA Mathematics.

ORELA Mathematics: Summarizing Data - Chapter Summary

As part of a preparation course for the ORELA Mathematics exam, this chapter has been compiled to aid in your review of descriptive statistics and percentile ranks. Watch the lesson videos of professional instructors as they demonstrate calculations for central tendency, variance, and percentiles to gain a mastery over:

Finding the mean, median and mode of a distribution
Visual analysis of distributions and distribution curves
Measures of dispersion and skewness
Range of distributions and outliers
Quartiles and interquartile range
Finding percentiles
Calculating standard deviation and variance
Effects of linear transformations

After viewing the lesson videos, complete lesson worksheets and quizzes to further improve your understanding of the statistical procedures presented in this chapter. Then using the lesson quizzes find areas of weakness and fortify them by returning to the lesson videos with video tags. For an alternative review of the material, read over the lesson transcripts which present the same material but in an easy-to-read written format.

ORELA Mathematics: Summarizing Data - Chapter Objectives

Math teachers in the state of Oregon are required to take the ORELA Mathematics test for certification. This computerized exam is composed of 150 multiple-choice questions and is administered in a 4 hour and 15 minute long testing session. Nineteen percent of the questions on this exam is in the domain of Statistics, Probability and Discrete Mathematics, including those asking about descriptive statistics. This chapter has been constructed to help you review measures of central tendency, distribution and percentile so that you will be able to accurately answer these questions on test day.

13 Lessons in Chapter 51: ORELA Math: Summarizing Data

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1. 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!

2. 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.

3. 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.

4. 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.

5. 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.

6. 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!

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. The Effect of Linear Transformations on Measures of Center & Spread

Linear transformations can be a great way to manipulate and analyze data. This lesson will show you how those transformations affect the center and spread of data.

13. Population & Sample Variance: Definition, Formula & Examples

Population and sample variance can help you describe and analyze data beyond the mean of the data set. In this lesson, learn the differences between population and sample variance.

Chapter Practice Exam

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Practice Final Exam

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