Udemyintermediateja

いちばん理解できる統計検定®準1級講座その2「ノンパラメトリック法」

統計検定準1級対策!ノンパラメトリック法をマスター。ウィルコクソン検定、スピアマン相関など、データ分析スキルアップを目指しましょう。

4.6(67)
1,184students
1h 56m
Certificate
Miyamoto Shota
Miyamoto Shotaリサーチ全般 (Research) / 統計学 (Statistics) / R / Excel

Course Content

いちばん理解できる統計検定®準1級講座その2「ノンパラメトリック法」 is an intermediate-level Udemy course taught by Miyamoto Shota. It runs 1h 56m, is taught in Japanese, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 67 reviews, with 1,184 students enrolled. It is a paid course, last updated October 2025.

Master Non-Parametric Statistics for the Statistical Proficiency Test® (準1級)

Ready to advance your statistical skills? This course dives into non-parametric methods, a crucial area covered in the Statistical Proficiency Test® (準1級). Learn to analyze data without assuming a specific distribution or parameters – focusing instead on data rankings and order.

What you'll learn:

  • Understanding the Basics: A clear explanation of non-parametric methods and how they differ from parametric approaches.
  • Comparing Two Groups: Master the Wilcoxon rank-sum test and Mann-Whitney U test to determine if there's a significant difference between two datasets.
  • Analyzing Three or More Groups: Utilize the Kruskal-Wallis test to assess statistical differences across multiple groups.
  • Single Group Testing: Learn the Sign test and Wilcoxon signed-rank test for analyzing single datasets and paired data.
  • Correlation with Rank Data: Explore Spearman's rank correlation coefficient and Kendall's tau to evaluate relationships between variables based on their ranks.

Course Highlights:

  • Practical Application: We go beyond theory! Learn to calculate test statistics and p-values using real-world examples.
  • Systematic Approach: This course provides a structured understanding of non-parametric methodologies.
  • Targeted for Success: Designed to help you achieve success in the Statistical Proficiency Test® (準1級).

Important Notes:

  • This course is designed to help you prepare for the Statistical Proficiency Test® (準1級), but does not guarantee passing.
  • The course focuses solely on non-parametric methods within the 準1級 scope. It does not cover all topics in the exam.
  • Statistical Proficiency Test® is a registered trademark of the General Incorporated Foundation Statistical Quality Assurance Promotion Association. This course is not officially endorsed by the test organizers.
  • Prerequisites: A basic understanding of statistics at the level required to pass the 準2級 is recommended.

Technical Information: This course content has been successfully used by a student who passed the Statistical Proficiency Test® (準1級) CBT with an excellent score (February 2023).

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