CompTIA Data+: Descriptive Statistical Methods

CompTIA    |    Intermediate
  • 15 videos | 1h 21m 10s
  • Includes Assessment
  • Earns a Badge
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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

  • 54s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 8m 8s
    After completing this video, you will be able to describe the purpose and role of descriptive statistics. FREE ACCESS
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    3.  Measures of Central Tendency
    6m 44s
    Upon completion of this video, you will be able to outline measures of central tendency, including mean, median, and mode. FREE ACCESS
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    4.  Measuring Central Tendency
    7m 52s
    During this video, you will learn how to measure central tendency in a dataset. FREE ACCESS
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    5.  Measures of Dispersion
    7m 31s
    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. FREE ACCESS
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    6.  Measuring Dispersion
    4m 11s
    In this video, find out how to measure dispersion with a dataset. FREE ACCESS
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    7.  Frequency Distribution
    6m 11s
    Upon completion of this video, you will be able to describe the purpose of frequency distribution, including frequencies and percentages. FREE ACCESS
  • Locked
    8.  Measuring Frequency Distribution
    4m 41s
    Discover how to measure a frequency distribution using a dataset. FREE ACCESS
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    9.  Percent Change
    4m 55s
    After completing this video, you will be able to outline the purpose of percent change and its purpose as a statistical method. FREE ACCESS
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    10.  Measuring Percent Change
    4m 27s
    Learn how to measure percent change using a dataset. FREE ACCESS
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    11.  Percent Difference
    4m 20s
    Upon completion of this video, you will be able to outline the purpose of percent difference and its purpose as a statistical method. FREE ACCESS
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    12.  Measuring Percent Difference
    5m 49s
    In this video, find out how to measure percent difference using a dataset. FREE ACCESS
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    13.  Confidence Intervals
    6m 36s
    After completing this video, you will be able to identify the purpose of confidence intervals as a statistical method. FREE ACCESS
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    14.  Measuring Confidence Intervals
    8m 15s
    During this video, discover how to measure confidence intervals using a dataset. FREE ACCESS
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    15.  Course Summary
    37s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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