Part: \( 2 / 5 \) Part 3 of 5 Calculate the Pearson's index of skewness. (Round the mean, median and standard deviation to one decimal place and Pearson's index to two decimal places.) It can be concluded that the distribution is not significantly Skip Part skewed. Recheck

To calculate the Pearson's index of skewness, we need to follow these steps: 1. Calculate the mean of the data. 2. Calculate the median of the data. 3. Calculate the standard deviation of the data. 4. Calculate the Pearson's index of skewness using the formula: \[ \text{Pearson's Index of Skewness} = \frac{\text{Mean} - \text{Median}}{\text{Standard Deviation}} \] Let's assume the data is \( x_1, x_2, x_3, ..., x_n \). 1. Calculate the mean: \[ \text{Mean} = \frac{\sum_{i=1}^{n} x_i}{n} \] 2. Calculate the median: To find the median, we need to arrange the data in ascending order and find the middle value. If the number of data points is odd, the median is the middle value. If the number of data points is even, the median is the average of the two middle values. 3. Calculate the standard deviation: \[ \text{Standard Deviation} = \sqrt{\frac{\sum_{i=1}^{n} (x_i - \text{Mean})^2}{n}} \] 4. Calculate the Pearson's index of skewness: \[ \text{Pearson's Index of Skewness} = \frac{\text{Mean} - \text{Median}}{\text{Standard Deviation}} \] Please provide the data points \( x_1, x_2, x_3, ..., x_n \) so that I can calculate the Pearson's index of skewness for you.