# Listings for Female and Male Realtors: Statistical Analysis## Listings for Female Realtors- **Mean**: 7.238095- **Standard Error**: 2.051602- **Median**: 5- **Mode**: 0- **Standard Deviation**: 9.401621- **Sample Variance**: 88.39048- **Kurtosis**: 12.4364- **Skewness**: 3.234869- **Range**: 44- **Minimum**: 0- **Maximum**: 44- **Sum**: 152- **Count**: 21## Listings for Male Realtors- **Mean**: 12.31579- **Standard Error**: 3.765846- **Median**: 10- **Mode**: 6- **Standard Deviation**: 16.41494- **Sample Variance**: 269.4503- **Kurtosis**: 14.09694- **Skewness**: 3.54549- **Range**: 76- **Minimum**: 0- **Maximum**: 76- **Sum**: 234- **Count**: 19---## Comparing the Variability of Listings DataComplete the table below to make comparisons between male and female realtors:### Variability Comparison Table| Conclusion Drawn | Measure Used (one is required, a 2nd is optional) | Why is that a good measure to compare the variability of these two groups? ||------------------|---------------------------------------------------|------------------------------------------------------------------------------|| | | | ### Detailed ExplanationThe table provides a detailed statistical analysis comparing the number of listings for female and male realtors. Key measures include mean, median, mode, standard deviation, sample variance, kurtosis, skewness, range, and other summative statistics. This data helps determine variability, central tendencies, and the distribution spread within each group, essential for understanding the differences in listings between female and male realtors. Consider factors like the standard deviation and variance to assess variability effectively, and use them to draw conclusions on the distribution and consistency of listings among realtors.

The variability gives an idea of the dispersion of the data.The formula for computing range is as follows:From the given output, the range of listing of female realtors is 44 and the range of listing of male realtors is 76. If the range is higher, then, the variability is greater. Conclusion drawnMeasured usedWhy is that a good measure to compare the variability of these two groups?The variability of listings of male realtors is greater than listings of female realtors.RangeHere the data is skewed because the mean, the median and the mode are not same and range is used as a the measure of dispersion for skewed data.Conclusion drawnMeasured usedWhy is that a good measure to compare the variability of these two groups?The variability of listings of male realtors is greater than listings of female realtors.RangeHere the data is skewed because the mean, the median and the mode are not same and range is used as the a measure of dispersion for skewed data.