# CompTIA Data+: Descriptive Statistical Methods

CompTIA    |    Intermediate
• 15 videos | 1h 21m 10s
• Includes Assessment
Rating 5.0 of 2 users (2)
Descriptive statistics are used to describe the characteristics of datasets. They are leveraged by data analysts to find answers or characteristics of data that aren't immediately or directly answered by analyzing the data alone. In other words, descriptive statistics are used to summarize characteristics of data that are not actually contained or explicitly described by the data. In this course, you will explore descriptive statistical methods, beginning with the purpose and role of descriptive statistics. Then you will dig into measures of central tendency, measures of dispersion, and frequency distribution. Finally, you'll examine percent change, percent difference, and confidence intervals. This course can be used to prepare for CompTIA Data+ (DA0-001) exam.

## WHAT YOU WILL LEARN

• Discover the key concepts covered in this course
Describe the purpose and role of descriptive statistics
Outline measures of central tendency, including mean, median, and mode
Measure central tendency in a dataset
Identify the purpose of measures of dispersion, including range (max, min), distribution, variance, and standard deviation
Measure dispersion with a dataset
Describe the purpose of frequency distribution, including frequencies and percentages
Measure a frequency distribution using a dataset
• Outline the purpose of percent change and its purpose as a statistical method
Measure percent change using a dataset
Outline the purpose of percent difference and its purpose as a statistical method
Measure percent difference using a dataset
Identify the purpose of confidence intervals as a statistical method
Measure confidence intervals using a dataset
Summarize the key concepts covered in this course

## IN THIS COURSE

• In this video, we will discover the key concepts covered in this course.
• After completing this video, you will be able to describe the purpose and role of descriptive statistics.
• 3.  Measures of Central Tendency
Upon completion of this video, you will be able to outline measures of central tendency, including mean, median, and mode.
• 4.  Measuring Central Tendency
During this video, you will learn how to measure central tendency in a dataset.
• 5.  Measures of Dispersion
After completing this video, you will be able to identify the purpose of measures of dispersion, including range (max, min), distribution, variance, and standard deviation.
• 6.  Measuring Dispersion
In this video, find out how to measure dispersion with a dataset.
• 7.  Frequency Distribution
Upon completion of this video, you will be able to describe the purpose of frequency distribution, including frequencies and percentages.
• 8.  Measuring Frequency Distribution
Discover how to measure a frequency distribution using a dataset.
• 9.  Percent Change
After completing this video, you will be able to outline the purpose of percent change and its purpose as a statistical method.
• 10.  Measuring Percent Change
Learn how to measure percent change using a dataset.
• 11.  Percent Difference
Upon completion of this video, you will be able to outline the purpose of percent difference and its purpose as a statistical method.
• 12.  Measuring Percent Difference
In this video, find out how to measure percent difference using a dataset.
• 13.  Confidence Intervals
After completing this video, you will be able to identify the purpose of confidence intervals as a statistical method.
• 14.  Measuring Confidence Intervals
During this video, discover how to measure confidence intervals using a dataset.
• 15.  Course Summary
In this video, we will summarize the key concepts covered in this course.

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