1. 假设检验 (Hypothesis Testing)用于验证假设：
"The hypothesis that X influences Y was supported by the data (t = 3.87, p < 0.01)."
"The null hypothesis was rejected, indicating a significant difference between the groups (p = 0.03)."
"The results failed to reject the null hypothesis, suggesting no significant effect of the intervention (p = 0.12)."
2. 时间序列分析 (Time Series Analysis)
用于描述变化：
"Over the 12-month period, sales increased steadily from 10,000 units to 15,000 units."
"Seasonal variations were observed, with peaks in the summer months and declines in winter."
用于报告模型结果：
"The ARIMA(1,1,1) model provided a good fit for the data, with an AIC value of 128.3."
"Figure 3 shows the forecasted values, which closely match the observed trends."
3. 主成分分析 (Principal Component Analysis, PCA)
用于描述降维结果：
"The first three principal components explained 85% of the total variance."
"Table 2 shows the factor loadings for each variable, indicating that variable X strongly loaded on Component 1."
4. 定性数据的量化 (Quantifying Qualitative Data)
用于报告主题分析：
"Thematic analysis identified three key themes, as shown in Table 3, with 'Collaboration' being the most frequently mentioned (n = 25)."
"A total of 75% of participants expressed positive attitudes toward the new policy, while 20% were neutral, and 5% were negative."
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