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CompTIA Data+: DAO-001 Certification Guide

You're reading from   CompTIA Data+: DAO-001 Certification Guide Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804616086
Length 370 pages
Edition 1st Edition
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Author (1):
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Cameron Dodd Cameron Dodd
Author Profile Icon Cameron Dodd
Cameron Dodd
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Table of Contents (24) Chapters Close

Preface 1. Part 1: Preparing Data
2. Chapter 1: Introduction to CompTIA Data+ FREE CHAPTER 3. Chapter 2: Data Structures, Types, and Formats 4. Chapter 3: Collecting Data 5. Chapter 4: Cleaning and Processing Data 6. Chapter 5: Data Wrangling and Manipulation 7. Part 2: Analyzing Data
8. Chapter 6: Types of Analytics 9. Chapter 7: Measures of Central Tendency and Dispersion 10. Chapter 8: Common Techniques in Descriptive Statistics 11. Chapter 9: Hypothesis Testing 12. Chapter 10: Introduction to Inferential Statistics 13. Part 3: Reporting Data
14. Chapter 11: Types of Reports 15. Chapter 12: Reporting Process 16. Chapter 13: Common Visualizations 17. Chapter 14: Data Governance 18. Chapter 15: Data Quality and Management 19. Part 4: Mock Exams
20. Chapter 16: Practice Exam One 21. Chapter 17: Practice Exam Two 22. Index 23. Other Books You May Enjoy

Practice exam two

  1. EDA stands for what?
    1. Extra data analysis
    2. Extrapolate data architecture
    3. Extract data analyze
    4. Exploratory data analysis
  2. You run a study to see whether there is a difference in the amount of weight a hamster can lift compared to a gerbil. You find out the results and come to a conclusion. If the result was a type II error, what was your conclusion?
    1. There is a difference between hamster and gerbil lifting capacities
    2. Gerbils and hamsters can lift the same amount
    3. Hamsters can lift more than gerbils
    4. Gerbils can lift more than hamsters
  3. The following dataset is an example of what type of error?
  1. Missing data
  2. Duplicate data
  3. Invalid data
  4. Redundant data
  1. Which of the following represents the percent of observations in each category as compared to the whole?
    1. Percentage
    2. Percent change
    3. Percent difference
    4. Frequency
  2. A pharmaceutical lab wants to know whether a memory-enhancing drug works. They have two mice run the same...
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