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Kiểm định giả thuyết trong Python

James Chapman

Curriculum Manager, DataCamp

Course recap

Chapter 1

  • Workflow for testing proportions vs. a hypothesized value
  • False negative/false positive errors

Chapter 3

  • Testing differences in sample proportions between two groups using proportion tests
  • Using chi-square independence/goodness of fit tests

Chapter 2

  • Testing differences in sample means between two groups using t-tests
  • Extending this to more than two groups using ANOVA and pairwise t-tests

Chapter 4

  • Reviewing assumptions of parametric hypothesis tests
  • Examined non-parametric alternatives when assumptions aren't valid
Kiểm định giả thuyết trong Python

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Kiểm định giả thuyết trong Python

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Kiểm định giả thuyết trong Python

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