Descriptive statistics are very useful for showing and summarizing data when any complex models are nit needed. However, it does not explain the relationship between two or more pieces of data and it does not leave any room to explain randomness in the data.
Range is the largest minus the smallest value in the data set. An outlier is a value that is far away from the majority of the data.
A linear MTR, or linear mixed-effects model, is a statistical model that accounts for both fixed effects (variables that are consistent across individuals) and random effects (variables that vary across individuals or groups) in analyzing data. It is particularly useful in scenarios where data are grouped or clustered, allowing for more accurate estimates of relationships by considering the inherent variability within the data. Linear MTRs are commonly used in fields like psychology, ecology, and medicine to handle repeated measures or hierarchical data structures.
When you summarize something, you explain what the main idea of something was in a few short sentences or phrases!
176
Explain data model?
Data is information.
list an explain the stage yhat can undergo when processing a data
what are the limitations of conventional approach of managing data?explain
It is possible to explain data structure in layman's terms. Simply put, in computer terms, a data structure is a commonly used method of data organization.
Explain The merits of using a deque to implement a stack in data structure
Explain the need for complex data structures
list 5 data base terminology and explain
lose data or a loss of data i think
forest
data processing system is the process of data that refers to information about what the problem.
How to gather gather data quickly and accurately?