Data Warehousing and Data Mining208110 marksA multidimensional data model
When do we prefer trim mean for statistical description of data? Justify with an example. Describe about multi-dimensional data model and conceptual modeling of data warehouse.
When do we prefer trim mean for statistical description of data? Justify with an example. Describe about multi-dimensional data model and conceptual modeling of data warehouse.[10]
--- The trimmed mean (trim mean) is a measure of central tendency calculated by removing a specified percentage of the smallest and largest values from a dataset before computing the arithmetic mean. If we trim p% from each end, it is called a p% trimmed mean. Formula: $$\bar{x}{trim} = \frac{1}{...