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Statistical Testing

Statistical Testing covers hypothesis testing, one of the most important methodologies in statistics, and introduces basic theories as well as various tests frequently used in practice. In particular, the content in the Advanced section originated from the complaint “please write down what the null hypothesis and alternative hypothesis are, not just output the test statistic and p-value,” and it is certain that it will be helpful to many statistics students.

  • In particular, the posts in the Beginner section carefully explain the derivation process of hypothesis tests that must be accepted without mathematical proof when you are an undergraduate freshman. Even if you advance to higher grades, it is difficult to understand the proof at the undergraduate level, but if you are at the level of a graduate student, it is recommended to review them as you go through.

Beginner

Inference on Population Mean

Chi-squared Test

ANOVA

Nonparametric Statistics

Advanced

Distribution Testing

Regression Analysis

Time Series Analysis

Main References

  • Mendenhall. (2012). Introduction to Probability and Statistics (13th Edition)
  • Department of Statistics, Kyungpook National University. (2008). Statistics Using Excel

All posts