The computation form for sample variance is?
characteristics of mean
Appropriate mode for WHAT?
In the appropriate context, they do.
mode, mean and median
Mode is the most frequent value in a dataset. It is a measure of central tendency along with mean and median. Mode is useful for representing the typical value or category in a dataset.
The population of Zoë Mode is 150.
G-Mode's population is 200.
The minimum and maximum are the same. The mean, median, and mode can be different.
(10, 15, 15, 15, 20) The answer above displays a sample in which the sample mean, sample median and sample mode assume the same value. If you were asking about populations, then the population mean, population median and population mode are the same whenever the probability density function for the population is symmetric. For example, the normal probability density function is symmetric, the t and uniform density functions are symmetric. Many are.
Each has its advantages and disadvantages and the answer will depend on the nature of the data.
In this dataset, the median and mode are both appropriate measures of center. The median is the middle value when the numbers are arranged in numerical order, while the mode is the value that appears most frequently. The mean, or average, can also be calculated for this dataset, but it is not mentioned in the given options.
It is not always true that if the mean of a set of data is greater than the mode, the mean will consistently be greater than the mode across all data sets. While in some distributions, particularly those that are positively skewed, the mean can be greater than the mode, this relationship can vary based on the distribution's characteristics. For example, in a symmetric distribution, the mean and mode can be equal. Thus, the statement can be true in certain cases but not universally applicable.