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HarvardX Data Science Module 4 - Inference and Modeling

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Course Description

Learn inference and modeling - two of the most widely used statistical tools in data analysis.

  1. 1

    Parameters and Estimates


    In this chapter, you will learn about parameters and estimates using the example of election polling.

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    Exercise 1. Polling - expected value of S
    50 xp
    Exercise 2. Polling - standard error of S
    50 xp
    Exercise 3. Polling - expected value of X-bar
    50 xp
    Exercise 4. Polling - standard error of X-bar
    50 xp
    Exercise 5. se versus p
    100 xp
    Exercise 6. Multiple plots of se versus p
    100 xp
    Exercise 7. Expected value of d
    50 xp
    Exercise 8. Standard error of d
    50 xp
    Exercise 9. Standard error of the spread
    100 xp
    Exercise 10. Sample size
    50 xp
    End of Assessment
    50 xp
  2. 8

    Association and Chi-Squared Tests


    In this chapter, you will learn about the association tests and the chi-square test.

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