mean does not mean the center of the data
what do you mean by data assembly?
The mean of a set of data is the sum of that data divided by the number of items of data.
Mean data are observations whose values are equal to the mean of the data set. By default it is the arithmetic mean but it could be the geometric or harmonic mean - if those measures are more appropriate.
No, not always. It depends on the type of data you collect. If it is quantitative data, you will be able to calculate a mean. If it is qualitative data, a mean can't be calculated but you can describe the data in terms of a mode.
mean does not mean the center of the data
mean does not mean the center of the data
what do you mean by data assembly?
The mean of a set of data is the sum of that data divided by the number of items of data.
no. Some mean is a number from the data but some mean is completely different from its data.
Its mean incomplete data or the data upon which we can not rely totally.
Suppose you compare the mean of raw data and the mean of the same raw data grouped into a frequency distribution. These two means will be
what do you mean by data handling define mean mode median
An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).
The population data may be skewed and thus the mean is not a valid statistic. If mean > median, the data will be skewed to the right. If median > mean, the data is skewed to the left.
Mean data are observations whose values are equal to the mean of the data set. By default it is the arithmetic mean but it could be the geometric or harmonic mean - if those measures are more appropriate.
How can data be interpreted?