It refers to a person of good character who has very good qualities.
Mean
No, extremely high or low values will not affect the median. Because the median is the middle number of a series of numbers arranged from low to high, extreme values would only serve as the end markers of the values.
The mean is a summary statistic that shows where the center of your dataset is. There are several types of mean but the most common is the arithmetic mean which is simply the sum of all the values divided by the number of values.
34.1% of the data values fall between (mean-1sd) and the mean.
It is better to have a low mean squared error (MSE). A low MSE indicates that the predicted values from a model are closer to the actual values, reflecting better model accuracy and performance. Conversely, a high MSE suggests larger discrepancies between predictions and actual outcomes, indicating poorer model quality. Therefore, minimizing MSE is a key objective in regression analysis and model evaluation.
No, extremely low or high values are affected by the mean.
Values
Extreme high or low values in a data set, known as outliers, can significantly skew the mean. For instance, a few very high values can inflate the mean, making it higher than the central tendency of the majority of the data. Conversely, extreme low values can drag the mean down, misrepresenting the typical value of the dataset. This sensitivity makes the mean less reliable as a measure of central tendency when outliers are present.
It is within the "High Average" range of IQ values.
That a certain value is greater than most of the values possible.
Values that are either extremely high or low in a data set are called 'outliers'. They are typically 3 standard deviations or more from the mean.
values mean CASHMONEY $$$$$$$$$$
seperate Values
It is the mean absolute deviation.
An arithmetic mean is a measure of central tendency of a set of values computed by dividing the sum of the values by the number of values.
The arithmetic mean is calculated by adding together the values and dividing by how many values there are. This is distinct from the geometric mean which is calculated as the nth root of the product of the values where n is the number of values multiplied together.
Calculate the mean, which is the sum of the values divided by the number of values added together.