Is the normality condition satisfied?Based on the Answer, as we Answer observe Answer, we can say that the condition of normality is Answer.

To determine whether the normality condition is satisfied, we need to consider the specific context in which the normality condition is being tested. In statistics, this often refers to whether a dataset, or the residuals from a regression model, follow a normal distribution.

Common Steps to Check Normality:

1. Visual Inspection:

   • Create a histogram or a Q-Q plot of the data to visually assess if the distribution resembles a normal distribution.

2. Statistical Tests:

   • Employ statistical tests like Shapiro-Wilk, Kolmogorov-Smirnov, or Anderson-Darling tests to formally test normality.

3. Skewness and Kurtosis:

   • Calculate skewness and kurtosis; values close to 0 for skewness and around 3 for kurtosis suggest normality.

4. Sample Size Consideration:

   • For small sample sizes, normality is more critical; for larger samples, Central Limit Theorem may apply.

Final Answer

Based on the assessments, if the data visualizations and statistical tests suggest that the data is normally distributed, we can say that the condition of normality is satisfied. Otherwise, we conclude that the condition of normality is not satisfied.