14 September Cricket Match , India vs Pakistan – Asia Cup 2025 The India vs Pakistan match scheduled for 14 September 2025 in the Asia Cup, covering the build-up, team strengths, controversies, and what to expect. India vs Pakistan – Asia Cup 2025: What’s At Stake When the arch-rivals, India and Pakistan, step onto the field at the Dubai International Cricket Stadium on **Sunday, September 14, 2025**, it won’t just be about cricket. This will be their first meeting since tense cross-border skirmishes and political unrest dominated headlines. Emotions are high, and expectations even higher. While both sides are used to pressure, few matches carry as much symbolic weight as this one. ([Al Jazeera][1]) Background & Context Tournament context: Asia Cup 2025, men’s T20 format, held in the UAE (Dubai & Abu Dhabi). India are defending champions from the previous edition. Teams’ recent form India** began their campaign with a dominant win over UAE (nine wickets) in ...
Is there any sources that has mentioned if more than 0.95 is the answer on normality test, the study is still reliable?
The interpretation of normality tests, such as the Shapiro-Wilk test or the Kolmogorov-Smirnov test, depends on various factors, and there isn't a universal threshold that applies to all situations. The choice of significance level (commonly set at 0.05) is somewhat arbitrary, and p-values close to this threshold should be interpreted cautiously. In practice, the decision on whether data can be considered approximately normally distributed often depends on the context of the analysis and the assumptions of the statistical methods being used. A p-value slightly above 0.05 might not necessarily imply a departure from normality that would seriously impact the validity of the analysis. It's essential to consider the specific requirements of the statistical methods you are using and the robustness of those methods to deviations from normality. It's worth noting that normality is an assumption for some parametric statistical tests (e.g., t-tests, ANOVA), and violating this as...