Mean is the most popular measure of central tendency. Calculated as sum divided by number of values. Minimizes error in prediction of any value. Susceptible to outliers and skewed data
Average is found by adding all numbers in a list and dividing by their count. Example: 5 ages totaling 118 divided by 5 gives average age of 23.6. Works for any number of ages or other data types
Mean is calculated by dividing sum of numbers by their count. Not always an even number, may not be perfect average
MAE measures errors between paired observations expressing same phenomenon. Calculated as sum of absolute errors divided by sample size. Uses same scale as measured data, making it scale-dependent
Quantitative variables are numerical, qualitative variables are descriptive. Continuous variables can take any value within a range. Discrete variables have fixed values, qualitative variables are descriptive
Average is the sum of values divided by their number. Works well with uniform data following normal distribution. Commonly used for calculating grades