Inactivity dataset mathematical statistics:
From the inactivity dataset statistics we can observe that:
1: The median value is 16.7, indicating that approximately half of the data points fall below this value, and half fall above it.
2: The mean is slightly lower than the median (16.7), suggesting a slight negative skewness.
3: A standard deviation of 1.9253 indicates that the data values have moderate variability around the mean.
4: A negative skewness value (-0.3420) indicates that the data distribution is slightly left-skewed, with a tail extending to the left. This suggests that there may be a slight concentration of data points on the right side of the distribution, toward higher values.
5: A negative kurtosis value (-0.5490) suggests that the data distribution has lighter tails than a normal distribution (platykurtic). This indicates a lower likelihood of extreme values compared to a normal distribution.
The inactivity dataset statistics has a slight negative skewness (left-skewed), where the mean is slightly lower than the median. The standard deviation indicates moderate variability in the data, and the negative kurtosis suggests that the distribution has lighter tails compared to a normal distribution, indicating a lower likelihood of extreme values. The overall shape of the distribution is relatively close to a normal distribution.