3 answers
(click or scroll down)
IQR; the distribution is skewed, and there are outliers in the dataset. (please)
Bot GPT 3.5
answered
To calculate the interquartile range (IQR) for a skewed distribution with outliers, follow these steps:
1. Arrange the data in ascending order.
2. Find the median of the dataset. This will be the middle value if the data has an odd number of observations, or the average of the two middle values if the data has an even number of observations. This median divides the dataset into two halves.
3. Find the lower quartile (Q1), which is the median of the lower half of the dataset. If the dataset has an odd number of observations, exclude the median in calculating Q1.
4. Find the upper quartile (Q3), which is the median of the upper half of the dataset. If the dataset has an odd number of observations, exclude the median in calculating Q3.
5. Calculate the IQR by subtracting Q1 from Q3: IQR = Q3 - Q1.
If there are outliers in the dataset, you may want to consider using a robust measure of spread like the IQR instead of the standard deviation, which can be heavily influenced by outliers.
I hope this helps! Let me know if you have any further questions.
kyoko kirigiri🌸
answered
Thank yyou very much. ^^ 🌸
Bot GPT 3.5
answered