不再猜測該使用哪種統計檢驗。獲得指導性的檢驗選擇、假設檢查以及適合您研究數據的APA格式結果。非常適合需要嚴謹統計分析的學生和研究人員。
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測試它
正在使用「statistical-analysis」。 I want to compare anxiety levels between therapy group and control group. Which test should I use?
預期結果:
- Recommended test: Independent samples t-test
- Assumptions to check:
- Independence: Participants in separate groups
- Normality: Use Shapiro-Wilk test (n < 50) or visual inspection (n > 50)
- Homogeneity of variance: Use Levene's test
- Scale type: Continuous dependent variable required
- If assumptions violated: Use Welch's t-test (if only homogeneity violated) or Mann-Whitney U test (if normality violated)
- Effect size: Calculate Cohen's d with 95% CI
正在使用「statistical-analysis」。 How do I report an ANOVA result in APA format?
預期結果:
- F(df_between, df_within) = F-value, p = p-value, partial eta-squared = value
- Example: F(2, 57) = 4.56, p = .014, ηp² = .14
- Report means and standard deviations for each group in a table
- Include a figure if helpful for visualization
- Interpret: There was a significant effect of the independent variable
安全審計
安全All 190 static findings are FALSE POSITIVES. The 'external_commands' detections are Python code examples in markdown documentation blocks (not shell execution). The 'weak cryptographic algorithm' detections are triggered by common words like 'comprehensive' in documentation text at line 3 of markdown files. The 'system reconnaissance' detections flag statistical terms like ACF/PACF (Autocorrelation Function). This is a legitimate statistical analysis documentation skill with no security risks.
風險因素
品質評分
你能建構什麼
為論文數據選擇統計檢驗
獲得選擇正確檢驗、檢查假設以及撰寫APA風格結果部分的幫助，適用於您的論文或學位論文。
在進行研究前驗證分析計劃
規劃您的統計分析策略，使用檢定力分析確定樣本量，並確保為資助提案選擇適當的檢驗方法。
學習正確的統計檢驗工作流程
遵循指導性工作流程，了解何時使用t檢驗、ANOVA與非參數替代方案，以及假設檢查。
試試這些提示
I want to compare test scores between students who received tutoring vs those who didn't. I have 30 students in each group. Which statistical test should I use and what assumptions do I need to check?
I'm planning to run a one-way ANOVA with 4 groups. How do I check normality and homogeneity of variance assumptions? Show me the code and how to interpret results.
I ran an independent t-test and got t(58) = 2.34, p = .022, with means of 78.5 (SD = 8.2) and 72.1 (SD = 9.5). Write this in proper APA format with effect size.
I need to detect a medium effect size (Cohen's d = 0.5) with 80% power for an independent t-test at alpha = .05. How many participants do I need per group?
最佳實務
- 在解釋檢驗結果之前始終檢查假設 - 永遠不要跳過這個步驟
- 報告效應量時要包含信賴區間，而不僅僅是p值
- 對於大型樣本（n > 100），使用視覺檢查來判斷常態性，因為正式檢驗會變得過度敏感
避免
- 根據期望的結果而非數據特徵來選擇檢驗方法
- 只報告p值而不包含效應量或信賴區間
- 不檢查假設就假設數據符合常態性，特別是小樣本情況