No, because the average is all of the numbers added up and divided by the number of numbers. For example: 25,40, and 55 add up to 120. When divided in this case, the mean is 40. But: Say you have 70,90, and 101 when added it comes to 261. When divided, the answer is 87. Since 87 is not one of the values, the mean is not always equal to a value in the data set.
Mean and median are the measures of central location that always have one value. This is true for a set of grouped or ungrouped data.
The mean.
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
The value is 0.3055
No. They are equal only if the distribution is symmetrical.
No, the mean cannot be greater than the greatest value in a data set. The mean is calculated by summing all the values and dividing by the number of values, which means it will always fall within the range of the data set. Therefore, the mean will always be less than or equal to the maximum value.
No.
Mean and median are the measures of central location that always have one value. This is true for a set of grouped or ungrouped data.
The mean.
the mean
The deviation from the mean of a dataset is calculated by subtracting the mean from each individual data point. If the mean of the dataset is 3, then the deviation from the mean for that value is 0, as it is equal to the mean. If you are referring to a specific value other than the mean, the deviation would be that value minus 3.
the mean %100
Difference (deviation) from the mean.
The median and mean of a data set can be the same when the data is symmetrically distributed, such as in a normal distribution. In this case, the mean accurately reflects the central tendency of the data, and the median, being the middle value, aligns with it. However, in skewed distributions, the mean and median can differ significantly due to the influence of outliers. Thus, while they can be equal, it depends on the distribution characteristics of the data set.
The mean ( x ) of a dataset can take any value within the range of the data, depending on the values of the individual data points. Specifically, it can be equal to the minimum value of the dataset if all data points are equal to this minimum, and it can approach the maximum value if the dataset includes very large values relative to other points. In a broader sense, the mean can be any real number, provided the dataset is appropriately constructed. It is also influenced by the number of data points and their distribution.
When the data set consistys of a single value.
A standard deviation of zero means that all the data points are the same value.