1. 描述性统计 (Descriptive Statistics)
用于描述变量特征：
- "The mean score of the participants was 75.2 (SD = 10.3)."
- "A total of 60% of the respondents were male, and 40% were female."
- "The median income level of the participants was $45,000, with a range of $30,000 to $80,000."
用于汇总总体分布：
- "Table 1 provides an overview of the demographic characteristics of the sample."
- "Most participants fell within the age range of 18 to 25 years (n = 150, 50%)."
- "The frequency distribution showed that 70% of the respondents reported moderate levels of satisfaction."
2. 比较分析 (Comparative Analysis)
用于组间比较：
- "Participants in Group A had significantly higher scores (M = 80.5, SD = 9.8) than those in Group B (M = 72.3, SD = 10.2), t(198) = 4.52, p < 0.01."
- "No significant difference was observed between males and females in their test scores (p = 0.45)."
- "The experimental group showed a greater increase in performance compared to the control group (F(1, 48) = 6.35, p = 0.015)."
用于描述趋势：
- "Figure 1 illustrates the upward trend in scores across all three time points for the treatment group."
- "Over time, Group A showed a steady improvement, while Group B remained relatively stable."
3. 相关性分析 (Correlation Analysis)
用于报告相关性：
- "A significant positive correlation was found between variable X and variable Y (r = 0.65, p < 0.01)."
- "The relationship between variable A and variable B was not statistically significant (r = 0.12, p = 0.28)."
- "Figure 2 shows the scatter plot of the relationship between X and Y, indicating a moderate positive correlation."
用于解释方向和强度：
- "The analysis revealed a strong negative correlation between stress levels and productivity (r = -0.72, p < 0.001)."
- "The correlation coefficient suggests a weak association between income and happiness (r = 0.18, p = 0.05)."
4. 回归分析 (Regression Analysis)
用于报告回归模型：
- "The regression analysis indicated that variable X significantly predicted variable Y (β = 0.35, t = 4.21, p < 0.001)."
- "Age and education level accounted for 45% of the variance in income (R² = 0.45, p < 0.01)."
- "The adjusted R² of 0.52 indicates that the model explains a substantial proportion of the variance in the outcome variable."
用于解释变量影响：
- "Among the predictors, variable Z had the largest standardized coefficient (β = 0.42), indicating its strong influence on the outcome."
- "Education level was a significant positive predictor, while age showed no significant effect on the dependent variable (p = 0.78)."
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