November 6, 2023

Topics Learnt Today:
1: White People

The age distribution of White individuals in the dataset displays a moderately right-skewed pattern, featuring a median of 38.0 and a mean of 40.09. The data indicates a relatively widespread distribution, as illustrated by a standard deviation of 13.24 and a variance of 175.26, suggesting a considerable degree of variability in the ages of White individuals.

The positive skewness value of 0.52 provides further insight into the distribution’s characteristics. Skewness measures the asymmetry of a distribution, and in this context, a positive skewness of 0.52 indicates a tail on the right side. This implies that there are relatively more White individuals with ages higher than the median, contributing to the rightward skew.

Furthermore, the negative kurtosis value of -0.13 sheds light on the tails and overall shape of the distribution. Kurtosis measures the tail heaviness of a distribution, and a negative kurtosis of -0.13 suggests slightly lighter tails compared to a normal distribution. This suggests that the age distribution among White individuals has tails that are less pronounced, and the overall shape of the distribution is somewhat flatter at the peak compared to a normal distribution.

2: Other Age Groups

The age distribution of individuals categorized as “Other” in the dataset is characterized by a median of 31.0 and a mean of 33.47. The standard deviation (11.48) and variance (131.83) suggest a moderate degree of variability in the dataset.

The positive skewness value of 0.63 provides additional information about the distribution’s shape. Skewness measures the asymmetry of a distribution, and in this case, a positive skewness of 0.63 indicates a right-skewed distribution with a tail on the right side. This suggests that there are relatively more individuals in the “Other” category with ages higher than the median, contributing to the rightward skew.

The negative kurtosis value of -0.23 gives insight into the tails and overall shape of the distribution. Kurtosis measures the tail heaviness of a distribution, and a negative kurtosis of -0.23 implies slightly lighter tails compared to a normal distribution. Additionally, the negative kurtosis suggests a flatter peak, indicating that the distribution among individuals categorized as “Other” is less concentrated around the mean compared to a normal distribution.

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