the mode is the same in both sets of data. 90
Yes, it will. An outlier is a data point that lies outside the normal range of data. This means that if it is factored in the mean will move in the direction the outlier is, really high if the outlier was high, and really low if the outlier was low.
An outlier will pull the mean and median towards itself. The extent to which the mean is affected will depend on the number of observations as well as the magnitude of the outlier. The median will change by a half-step.
There would be a difference to the median. The old number wouldn't be the median but the mode wouldn't change. If the outlier is a high value, it will cause the mean value to shift to the higher side, while a low valued outlier will drop the mean value to a lower number.
It depends on the boy it should be around 12-16 but there is always outlier's, when his voice starts to crack then his voice is starting to change.
An outlier can significantly affect the median of a data set, although its impact is less pronounced compared to measures like the mean. The median is the middle value when data is arranged in order, so if an outlier is added or removed, it may not change the median unless it is situated among the middle values. For instance, in a data set with an odd number of values, an extreme outlier at one end will not affect the median as long as it does not enter the central position. However, in a smaller data set, the presence of an outlier can shift the median if it changes the arrangement of the middle values.
Impossible to change a volume measure to a length measure
The mean will increase substantially. The median may increase slightly or substantially - depending on how many observations are in the central values of the distribution. The mode should not change at all.
The mean and median become smaller, the mode does not change.
An accelerometer is an instrument to measure acceleration, which is the change in velocity per unit of time.
Ripening or rotting causes all plant matter to change color.
Mean: 15.5 Median: 16.5 Mode: 20 Range: 15
division