The indices for a skewed distribution are:

1. Skewness: Skewness is a measure of the asymmetry of a distribution. It indicates the degree to which a distribution is skewed to the left or right. A positive skewness value indicates a right-skewed distribution, while a negative skewness value indicates a left-skewed distribution.

2. Kurtosis: Kurtosis is a measure of the peakedness or flatness of a distribution. It indicates the degree to which the tails of a distribution are thicker or thinner than those of a normal distribution. A positive kurtosis value indicates a distribution that is more peaked than a normal distribution, while a negative kurtosis value indicates a flatter distribution.

3. Median: Median is the middle value of a distribution. It is the value that separates the lower 50% of the distribution from the upper 50%. In a skewed distribution, the median may be a better measure of central tendency than the mean, which can be influenced by outliers.

4. Interquartile Range (IQR): IQR is the range between the first and third quartiles of a distribution. It represents the middle 50% of the data. In a skewed distribution, the IQR may be a better measure of variability than the standard deviation, which can be influenced by outliers.